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ORCIDCEC 2011: New Orleans, LA, USA
- Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2011, New Orleans, LA, USA, 5-8 June, 2011. IEEE 2011, ISBN 978-1-4244-7834-7
- Natalio Krasnogor:
Darwin's magic: Evolutionary computation in nanoscience, bioinformatics and systems biology. 1-3
Nature Inspired Techniques for Structural Design, Optimization and Identification Problems
- Amit Banerjee, Issam Abu-Mahfouz:
Evolutionary algorithm-based parameter identification for nonlinear dynamical systems. 1-5 - Anne Raich, Kyle Fritz:
Benefits of implicit redundant representation genetic algorithms for conceptual design and damage identification. 6-13 - Masoud Mirmomeni, William F. Punch:
Co-evolving data driven models and test data sets with the application to forecast chaotic time series. 14-20 - Mouadh Yagoubi, Ludovic Thobois, Marc Schoenauer
:
Asynchronous Evolutionary Multi-Objective Algorithms with heterogeneous evaluation costs. 21-28 - Afonso C. C. Lemonge, Michelli M. Silva, Helio J. C. Barbosa:
Design optimization of geometrically nonlinear truss structures considering cardinality constraints. 29-36
Estimation of Distribution Approaches to Complex Problems
- Xianneng Li, Bing Li, Shingo Mabu, Kotaro Hirasawa:
A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning. 37-44 - Shih-Hsin Chen, Min-Chih Chen:
Bi-variate artificial chromosomes with genetic algorithm for single machine scheduling problems with sequence-dependent setup times. 45-53 - Cristiano Grijó Pitangui, Gerson Zaverucha:
Inductive Logic Programming through Estimation of Distribution Algorithm. 54-61 - André R. Gonçalves, Fernando J. Von Zuben:
Online learning in estimation of distribution algorithms for dynamic environments. 62-69
Ms. Pac-Man vs. Ghost-Team Competition
- Philipp Rohlfshagen, Simon M. Lucas:
Ms Pac-Man versus Ghost Team CEC 2011 competition. 70-77
Artificial Bee Colony Algorithm I
- Junqing Li, Quan-Ke Pan, Shengxian Xie:
Flexible job shop scheduling problems by a hybrid artificial bee colony algorithm. 78-83 - Celal Öztürk, Dervis Karaboga:
Hybrid Artificial Bee Colony algorithm for neural network training. 84-88 - Bahriye Akay, Dervis Karaboga:
Wavelet packets optimization using Artificial Bee Colony algorithm. 89-94 - Tuncay Özcan, Sakir Esnaf:
A heuristic approach based on artificial bee colony algorithm for retail shelf space optimization. 95-101
Real World Applications I
- Shawn Aldridge, Brendan Babb, Frank W. Moore, Michael R. Peterson:
Improved reconstruction of deep space images via genetic algorithms. 102-109 - Haluk Yapicioglu, Alice E. Smith:
Disservice representation using the Gini coefficient in semi-desirable facility location problems. 110-114 - César Andrés, Luis Llana, Manuel Núñez:
Self-adaptive fuzzy-timed systems. 115-122
Evolutionary Robotics
- Helbert E. Espitia, Jorge I. Sofrony:
Path planning of mobile robots using potential fields and swarms of Brownian particles. 123-129 - Dun-Wei Gong, Cheng-liang Qi, Yong Zhang, Ming Li:
Modified particle swarm optimization for odor source localization of multi-robot. 130-136 - Hideru Hiruma, Alex Fukunaga, Kazuki Komiya, Hitoshi Iba:
Evolving an effective robot tour guide. 137-144 - Alan L. Jennings, Raúl Ordóñez:
Population based optimization for variable operating points. 145-151 - In-Bae Jeong, Chang-Soo Park, Ki-In Na, Seungbeom Han, Jong-Hwan Kim:
Particle swarm optimization-based central patter generator for robotic fish locomotion. 152-157
Algorithmic Innovations in Evolution Strategies
- Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers:
Novelty-based restarts for evolution strategies. 158-163 - Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Proposal of distance-weighted exponential natural evolution strategies. 164-171 - Eddy Parkinson, Adam Ghandar, Zbigniew Michalewicz, Andrew Tuson:
Estimating the reproductive potential of offspring in evolutionary heuristics for combinatorial optimization problems. 172-178 - Takeshi Uchitane, Toshiharu Hatanaka:
Applying evolution strategies for biped locomotion learning in RoboCup 3D Soccer Simulation. 179-185
Evolutionary Computation in Finance Decision Making
- Andreas Krause:
Performance of evolving trading strategies with different discount factors. 186-191 - Dome Lohpetch, David Corne:
Multiobjective algorithms for financial trading: Multiobjective out-trades single-objective. 192-199 - João Rafael De Moura Palotti, Thiago Salles, Gisele Lobo Pappa, Marcos André Gonçalves, Wagner Meira Jr.:
Assessing documents' credibility with genetic programming. 200-207
Hardware Aspects of Bio-Inspired Architectures and Systems
- Omer Qadir, Yang Jerry Liu, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell:
Hardware architecture for a bidirectional hetero-associative Protein Processing Associative Memory. 208-215 - Enrico Heinrich, Ralf Joost, Ralf Salomon:
Learning from the barn owl auditory system: A bio-inspired localization hardware architecture. 216-221 - Gregor Papa, Tomasz Garbolino:
Optimal on-line built-in self-test structure for system-reliability improvement. 222-229 - Antonio Gomez Zamorano, Jon Timmis, Andy M. Tyrrell:
A flexible decentralised communication architecture on a field programmable gate array for swarm system simulations. 230-237
Evolutionary Computer Vision I
- Daniel L. Atkins, Kourosh Neshatian, Mengjie Zhang:
A domain independent Genetic Programming approach to automatic feature extraction for image classification. 238-245 - Mahdi Setayesh, Mengjie Zhang, Mark Johnston:
Edge detection using constrained discrete particle swarm optimisation in noisy images. 246-253 - Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection: A global approach. 254-261 - Man To Wong, Xiangjian He, Wei-Chang Yeh:
Image clustering using Particle Swarm Optimization. 262-268 - Zdenek Vasícek, Michal Bidlo:
Evolutionary design of robust noise-specific image filters. 269-276
Computational Intelligence in Bioinformatics and Computational Biology I
- Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. 277-284 - Matthias Becker:
Design of fault tolerant networks with agent-based simulation of Physarum polycephalum. 285-291 - Ahmadreza Ghaffarizadeh, Kamilia Ahmadi, Nicholas S. Flann:
Sorting unsigned permutations by reversals using multi-objective evolutionary algorithms with variable size individuals. 292-295
EC on Many-core Architecture to Solve Large-scale Problems I
- Yuji Sato, Naohiro Hasegawa, Mikiko Sato:
GPU acceleration for Sudoku solution with genetic operations. 296-303 - Maribel García Arenas, Juan Julián Merelo Guervós, Antonio Miguel Mora, Pedro A. Castillo, Gustavo Romero, Juan Luis Jiménez Laredo:
Assessing speed-ups in commodity cloud storage services for distributed evolutionary algorithms. 304-311 - Masaharu Munetomo:
Realizing robust and scalable evolutionary algorithms toward exascale era. 312-317 - Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Advanced genetic algorithm to solve MINLP problems over GPU. 318-325
Artificial Bee Colony Algorithm II
- Selcuk Okdem, Dervis Karaboga, Celal Öztürk:
An application of Wireless Sensor Network routing based on Artificial Bee Colony Algorithm. 326-330 - Beatriz A. Garro, Humberto Sossa, Roberto Antonio Vázquez:
Artificial neural network synthesis by means of artificial bee colony (ABC) algorithm. 331-338 - Adalet Öner, Sel Özcan, Derya Dengi:
Optimization of university course scheduling problem with a hybrid artificial bee colony algorithm. 339-346 - Mehmet Fatih Tasgetiren, Önder Bulut, Mehmet Murat Fadiloglu:
A discrete artificial bee colony algorithm for the economic lot scheduling problem. 347-353
Real World Applications II
- Ahmad Faisal Mohamad Ayob, Tapabrata Ray, Warren F. Smith:
Scenario-based hydrodynamic design optimization of high speed planing craft for coastal surveillance. 354-361 - David Wilcox, Andrew W. McNabb, Kevin D. Seppi:
Solving virtual machine packing with a Reordering Grouping Genetic Algorithm. 362-369 - Neil Paiva Tizzo, Juan Manuel Adán Coello, Eleri Cardozo:
Automatic composition of semantic web services using A-Teams with genetic agents. 370-377 - Leon Poladian:
A genotype-to-phenotype mapping for microstructured polymer optical fibres. 378-385
Clustering and Data Mining I
- Rosana Veroneze, Fabrício Olivetti de França, Fernando J. Von Zuben:
Assessing the performance of a swarm-based biclustering technique for data imputation. 386-393 - Deng Zhang, Shingo Mabu, Feng Wen, Kotaro Hirasawa:
A sequential subspace face recognition framework using genetic-based clustering. 394-400 - Deepti Dohare, V. Susheela Devi:
Combination of similarity measures for time series classification using genetic algorithms. 401-408 - Eun Yeong Ahn, Tracy Mullen, John Yen:
Evolutionary based feature extraction with dynamic mutation. 409-416
Evolvable Hardware and Software
- John C. Gallagher, Michael W. Oppenheimer:
An improved evolvable oscillator for all flight mode control of an insect-scale flapping-wing micro air vehicle. 417-425 - Matthew E. Kijowski, John C. Gallagher, Laurence D. Merkle:
Improved learning in an evolvable hardware hover controller for an insect scale Flapping-Wing Micro Air Vehicle. 426-431 - Rui Li, Ramin Etemaadi, Michael T. M. Emmerich, Michel R. V. Chaudron:
An evolutionary multiobjective optimization approach to component-based software architecture design. 432-439 - Paul Bremner, Mohammad Samie, Anthony G. Pipe, Andy M. Tyrrell:
Multi-objective optimisation of cell-array circuit evolution. 440-446
Fitness Landscapes and Learning
- Shuhei Kimura, Koki Matsumura:
Constrained multimodal function optimization using a simple evolutionary algorithm. 447-454 - Felix Dobslaw:
Iteration-wise parameter learning. 455-462 - Garrison W. Greenwood:
On the value of operator-induced neighborhoods in fitness landscapes. 463-467 - John A. Doucette, Malcolm I. Heywood:
Revisiting the Acrobot 'height' task: An example of efficient evolutionary policy search under an episodic goal seeking task. 468-475 - Felicitas Mokom, Ziad Kobti:
Evolution of artifact capabilities. 476-483
Evolutionary Computer Vision II
- Luis Gerardo de la Fraga, Gustavo M. Lopez Dominguez:
Robust detection of several circles or ellipses with heuristics. 484-490 - Hoang Thanh Nguyen, Bir Bhanu:
Tracking pedestrians with bacterial foraging optimization swarms. 491-495 - Qiao Shi, Andy Song:
Selective motion detection by Genetic Programming. 496-503 - Jiulei Geng, Jing Liu:
Image texture classification using a multiagent genetic clustering algorithm. 504-508
Poster Session Monday
- Moayed Daneshyari, Gary G. Yen:
Dynamic optimization using cultural based PSO. 509-516 - Leandro dos Santos Coelho, Diego Luis de Andrade Bernert, Viviana Cocco Mariani:
A chaotic firefly algorithm applied to reliability-redundancy optimization. 517-521 - Viviana Cocco Mariani, Luiz Guilherme Justi Luvizotto, Carlos Eduardo Klein, Leandro dos Santos Coelho:
A normative differential evolution approach for estimation of heat transfer coefficient during freezing treatment by inverse analysis. 522-528 - Jésica de Armas, Gara Miranda, Coromoto León:
Two encoding schemes for a multi-objective Cutting Stock Problem. 529-536 - Omar Paranaiba Vilela Neto, Marco Aurélio Cavalcanti Pacheco:
A parallel evolutionary algorithm to search for global minima geometries of heterogeneous ab initio atomic clusters. 537-543 - Omar Paranaiba Vilela Neto, Iury S. Bezerra, André Silva Pimentel:
Evolutionary optimization of sets of basis functions for first-row atoms by using discretization process. 544-549 - Robert C. Green II, Lingfeng Wang, Mansoor Alam, Richard A. Formato:
Central Force Optimization on a GPU: A case study in high performance metaheuristics using multiple topologies. 550-557 - Liping Jia, Yuping Wang:
Genetic algorithm based on primal and dual theory for solving multiobjective bilevel linear programming. 558-565 - Igor Rosberg de Medeiros Silva, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
Solving the light up with Ant Colony Optimization. 566-573 - Danielle N. G. Silva, Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
An evolutionary extreme learning machine based on group search optimization. 574-580 - Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
A new signal classification technique by means of Genetic Algorithms and kNN. 581-586 - Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Using recurrent ANNs for the detection of epileptic seizures in EEG signals. 587-592 - Paulo Henrique S. Asconavieta, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg:
Evolutionary algorithm for the Car Renter Salesman. 593-600 - Lara Menezes, André L. V. Coelho:
On ensembles of biclusters generated by NichePSO. 601-607 - Muhannad Hijaze, David Corne:
Distributed evolutionary algorithm topologies with adaptive migration schemes. 608-615 - Marcelo Lotif, André L. V. Coelho:
Visually inspecting the search behavior of Harmony Search and its variants with Viz3D. 616-623 - Luigi Cardamone, Andrea Mocci, Carlo Ghezzi:
Dynamic synthesis of program invariants using genetic programming. 624-631 - Fabrício Olivetti de França, Fernando J. Von Zuben:
Extracting additive and multiplicative coherent biclusters with swarm intelligence. 632-638 - Antonio González-Pardo, David Camacho:
Analysis of grammatical evolutionary approaches to regular expression induction. 639-646 - José Ignacio Estévez Damas, Pedro Antonio Toledo Delgado, Silvia Alayón:
Using an induced relational decision tree for rule injection in a learning classifier system. 647-654 - Mohammad Sharif Khan, Ahmad Faisal Mohamad Ayob, Amitay Isaacs, Tapabrata Ray:
A novel evolutionary approach for 2D shape matching based on B-spline modeling. 655-661 - Arif Jamal Malik, Waseem Shahzad, Farrukh Aslam Khan:
Binary PSO and random forests algorithm for PROBE attacks detection in a network. 662-668 - Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. 669-678 - Roberto Antonio Vázquez:
Training spiking neural models using cuckoo search algorithm. 679-686 - Masashi Oiso, Toshiyuki Yasuda, Kazuhiro Ohkura, Yoshiyuki Matsumura:
Accelerating steady-state genetic algorithms based on CUDA architecture. 687-692 - Eulanda Miranda dos Santos, Robert Sabourin:
Classifier ensembles optimization guided by population oracle. 693-698 - Bado Lee, Ho-Sik Seok, Byoung-Tak Zhang:
Evolving a population code for multimodal concept learning. 699-706 - Marco Carpentieri:
On robustness of permutations sequencing operators: Solving satisfiability of random 3 - CNFs by simple crossover. 707-714 - Hector M. Lugo-Cordero, Abigail Fuentes-Rivera, Ratan K. Guha, Eduardo I. Ortiz-Rivera:
Particle Swarm Optimization for load balancing in green smart homes. 715-720 - Crown Guan Wang, Degang Wu, Kwok Yip Szeto:
Quasi-parallel genetic algorithms with different communication topologies. 721-727 - Zhu Wang, Rui Yang, Lingfeng Wang, Robert C. Green II, Anastasios I. Dounis:
A fuzzy adaptive comfort temperature model with grey predictor for multi-agent control system of smart building. 728-735 - Eun Yeong Ahn, Tracy Mullen, John Yen:
A two-population evolutionary algorithm for feature extraction: Combining filter and wrapper. 736-743 - Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta:
A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. 744-749 - Udit Halder, Swagatam Das, Dipankar Maity, Ajith Abraham, Preetam Dasgupta:
Self adaptive cluster based and weed inspired differential evolution algorithm for real world optimization. 750-756 - Pradipta Ghosh, Hamim Zafar, Swagatam Das, Ajith Abraham:
Hierarchical dynamic neighborhood based Particle Swarm Optimization for global optimization. 757-764 - Mohammed Nasir, Arnab Kumar Mondal, Soumyadip Sengupta, Swagatam Das, Ajith Abraham:
An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance. 765-772
Computational Intelligence in Bioinformatics and Computational Biology II
- Brian J. Ross:
Evolution of stochastic bio-networks using summed rank strategies. 773-780 - Daniel A. Ashlock, Elisabeth Shiller, Colin Lee:
Comparison of evolved epidemic networks with diffusion characters. 781-788 - Gordon Vansant, Pat Pezzoli, Joseph Monforte, Gary B. Fogel:
High-throughput toxicological classification of candidate drug compounds using gene expression, evolved neural networks, and a cell-based platform. 789-795
EC on Many-core Architecture to Solve Large-scale Problems II
- Pavel Krömer, Jan Platos, Václav Snásel:
Differential evolution for the linear ordering problem implemented on CUDA. 796-802 - Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Optimization of parallel Genetic Algorithms for nVidia GPUs. 803-811 - Shigeyoshi Tsutsui, Noriyuki Fujimoto:
Fast QAP solving by ACO with 2-opt local search on a GPU. 812-819 - Yiyuan Gong, Alex Fukunaga:
Distributed island-model genetic algorithms using heterogeneous parameter settings. 820-827
Computational Intelligence and Games I
- Daniel A. Ashlock, Sylvia Nguyen:
Financial control of the evolution of autonomous non-player characters. 828-835 - Elio Piccolo, Giovanni Squillero:
Adaptive opponent modelling for the iterated prisoner's dilemma. 836-841 - Eduardo Vázquez-Fernández, Carlos A. Coello Coello, Feliu Davino Sagols Troncoso:
An evolutionary algorithm for tuning a chess evaluation function. 842-848 - Cameron McGuinness, Daniel A. Ashlock:
Decomposing the level generation problem with tiles. 849-856
Nature-inspired Constrained Optimization
- Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
GA with a new multi-parent crossover for constrained optimization. 857-864 - Noha M. Hamza, Saber M. Elsayed, Daryl Essam, Ruhul A. Sarker:
Differential evolution combined with constraint consensus for constrained optimization. 865-872 - Leslie Perez, María Cristina Riff:
New bounds for the Relaxed Traveling Tournament Problems using an artificial immune algorithm. 873-879
Real World Applications III
- Owen Clancey, Matthew Witten:
A memetic algorithm for dosimetric optimization in CyberKnife robotic radiosurgical treatment planning. 880-885 - U. ManChon, Chiahsun Ho, Shelby H. Funk, Khaled Rasheed:
GART: A genetic algorithm based real-time system scheduler. 886-893 - Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie, Brian Davies, Glyn Williams:
A parallel BOA-PSO hybrid algorithm for history matching. 894-901 - Cem Celal Tutum, Zhun Fan:
Multi-criteria layout synthesis of MEMS devices using memetic computing. 902-908
Clustering and Data Mining II
- Telmo L. T. Menezes:
Evolutionary modeling of a blog network. 909-916 - Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao:
A Memetic Genetic Programming with decision tree-based local search for classification problems. 917-924 - Zilton Cordeiro Junior, Gisele L. Pappa:
A PSO algorithm for improving multi-view classification. 925-932 - Rafael V. Carvalho, Gustavo Brunoro, Gisele L. Pappa:
HCGA: A genetic algorithm for hierarchical classification. 933-940 - Anna Friedlander, Kourosh Neshatian, Mengjie Zhang:
Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting. 941-948
Emerging Approaches to Large Scale Optimization Problems
- Luigi Malagò, Matteo Matteucci, Giovanni Pistone:
Stochastic Natural Gradient Descent by estimation of empirical covariances. 949-956 - Luis Martí, Jesús García, Antonio Berlanga, José M. Molina López:
Indicator-based MONEDA: A comparative study of scalability with respect to decision space dimensions. 957-964 - Lliam B. Leal, Raimir Holanda Filho, Ricardo A. L. Rabêlo, Fabio A. S. Borges:
A hybrid approach based on genetic fuzzy systems for Wireless Sensor Networks. 965-972 - Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
Variable Size Genetic Network Programming with Binomial Distribution. 973-980
Ant Approaches to Complex Problems
- Yanghui Wu, John A. W. McCall, David Corne:
Fitness landscape analysis of Bayesian network structure learning. 981-988 - Hannes Mühleisen, Tilman Walther, Robert Tolksdorf:
Multi-level indexing in a distributed self-organized storage system. 989-994 - Gilbert L. Peterson, Christopher B. Mayer, Kevin Cousin:
WoLF Ant. 995-1002
Computational Intelligence in Bioinformatics and Computational Biology III
- Md. Kamrul Islam, Madhu Chetty, M. Manzur Murshed:
Novel local improvement techniques in clustered memetic algorithm for protein structure prediction. 1003-1011 - Ahsan Raja Chowdhury, Madhu Chetty:
An improved method to infer Gene Regulatory Network using S-System. 1012-1019 - Steven M. Corns:
On the effects of graph based evolutionary algorithms for training finite state classifiers. 1020-1026
Competition: Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems I
- Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
Benchmarking a hybrid DE-RHC algorithm on real world problems. 1027-1033 - Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems. 1034-1040 - Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems. 1041-1048 - Amit Saha, Tapabrata Ray:
How does the good old Genetic Algorithm fare at real world optimization? 1049-1056 - Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
An adaptive differential evolution algorithm and its performance on real world optimization problems. 1057-1062
Computational Intelligence and Games II
- Daniel A. Ashlock, Christopher Kuusela, Monica Cojocaru:
Shopkeeper strategies in the iterated prisoner's dilemma. 1063-1070 - Gary Parker, Phil Fritzsche:
Fitness Biasing for evolving an Xpilot combat agent. 1071-1076 - Adam Dziuk, Risto Miikkulainen:
Creating intelligent agents through shaping of coevolution. 1077-1083 - Phillipa Avery, Julian Togelius, Elvis Alistar, Robert Pieter van Leeuwen:
Computational intelligence and tower defence games. 1084-1091 - Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen:
Towards human-like social multi-agents with memetic automaton. 1092-1099
Art and Music
- Carina M. Viljoen, Geoff S. Nitschke, Willem S. van Heerden:
Evolution of a fictional dialogue. 1100-1107 - Daniel A. Ashlock, Joseph A. Brown:
Fitness functions for searching the Mandelbrot set. 1108-1115 - Joseph A. Brown, Daniel A. Ashlock, John Orth, Sheridan K. Houghten:
Autogeneration of fractal photographic mosaic images. 1116-1123 - Carlos M. Fernandes, Carlos Isidoro, Fábio Barata, Agostinho C. Rosa, Juan Julián Merelo Guervós:
From pherographia to color pherographia: Color sketching with artificial ants. 1124-1131
Real World Applications IV
- Eduardo Segredo, Carlos Segura, Coromoto León:
A multiobjectivised memetic algorithm for the Frequency Assignment Problem. 1132-1139 - Corrado Coia, Brian J. Ross:
Automatic evolution of conceptual building architectures. 1140-1147 - Thillainathan Logenthiran, Dipti Srinivasan:
LRGA for solving profit based generation scheduling problem in competitive environment. 1148-1154 - Philip Hingston, Mike Preuss:
Red teaming with coevolution. 1155-1163
Algorithmic Evaluations of Genetic Programming
- David F. Barrero, María D. R.-Moreno, Bonifacio Castaño, David Camacho:
An empirical study on the accuracy of computational effort in Genetic Programming. 1164-1171 - John W. Aleshunas, Cezary Z. Janikow:
Cost-benefit analysis of using heuristics in ACGP. 1172-1178 - Nguyen Thi Hien, Nguyen Xuan Hoai, Robert Ian (Bob) McKay:
A study on Genetic Programming with layered learning and incremental sampling. 1179-1185 - Carlton Downey, Mengjie Zhang:
Execution trace caching for Linear Genetic Programming. 1186-1193
Memetic Algorithms for Complex Problems
- Claudio Fabiano Motta Toledo, Renato Resende Ribeiro de Oliveira, Paulo Morelato França:
A hybrid heuristic approach to solve the multi level capacitated lot sizing problem. 1194-1201 - Martin Pilát, Roman Neruda:
ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. 1202-1208 - Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan:
Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. 1209-1216 - André R. da Cruz, Rodrigo T. N. Cardoso, Elizabeth F. Wanner, Ricardo H. C. Takahashi:
Using convex quadratic approximation as a local search operator in evolutionary multiobjective algorithms. 1217-1224
Cultural and Immune Approaches to Complex Problems
- Mostafa Z. Ali, Ayad M. Salhieh, Randa T. Abu Snanieh, Robert G. Reynolds:
Boosting Cultural Algorithms with an incongruous layered social fabric influence function. 1225-1232 - Robert G. Reynolds, Dapeng Liu:
Multi-objective cultural algorithms. 1233-1241 - Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben:
A Concentration-based Artificial Immune Network for combinatorial optimization. 1242-1249 - Pablo A. D. Castro, Fernando J. Von Zuben:
Training multilayer perceptrons with a Gaussian Artificial Immune System. 1250-1257
Evolution of Developmental and Generative Systems
- Malik Nairat, Palle Dahlstedt, Mats G. Nordahl:
Character evolution approach to generative storytelling. 1258-1263 - Konstantinos Antonakopoulos, Gunnar Tufte:
A common genetic representation capable of developing distinct computational architectures. 1264-1271 - Till Steiner, Bernhard Sendhoff:
Evolvability of graph- and Vector Field Embryogeny representations. 1272-1279 - Brent E. Eskridge:
Extrapolation of regularity using indirect encodings. 1280-1287
Computational Intelligence in Bioinformatics and Computational Biology IV
- Herbert H. Tsang, Christian Jacob:
RNADPCompare: An algorithm for comparing RNA secondary structures based on image processing techniques. 1288-1295 - David Marco, David E. Cairns, Carron Shankland:
Optimisation of process algebra models using evolutionary computation. 1296-1301 - Amin Yazdani Salekdeh, Kay C. Wiese:
Improving splice-junctions classification employing a novel encoding schema and decision-tree. 1302-1307 - Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr.:
Transgenic, an operator for evolutionary algorithms. 1308-1314
Competition: Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems II
- Yu Wang, Bin Li, Kaibo Zhang:
Estimation of distribution and differential evolution cooperation for real-world numerical optimization problems. 1315-1321 - Hemant Kumar Singh, Tapabrata Ray:
Performance of a hybrid EA-DE-memetic algorithm on CEC 2011 real world optimization problems. 1322-1326 - Peter Korosec, Jurij Silc:
The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. 1327-1334 - Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb:
Modified SBX and adaptive mutation for real world single objective optimization. 1335-1342
Meta-heuristic Approaches for Global Continuous Optimization
- Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber:
Curiosity-driven optimization. 1343-1349 - Carlos Alberto Cobos Lozada, Martha Mendoza, Elizabeth León:
A hyper-heuristic approach to design and tuning heuristic methods for web document clustering. 1350-1358
Real World Applications V
- Rafael Falcón, Marcio Almeida, Amiya Nayak:
Fault identification with binary adaptive fireflies in parallel and distributed systems. 1359-1366 - Manuel Chica, Oscar Cordón, Sergio Damas:
Tackling the 1/3 variant of the time and space assembly line balancing problem by means of a multiobjective genetic algorithm. 1367-1374 - Tamirat Abegaz, Gerry V. Dozier, Kelvin S. Bryant, Joshua Adams, Joseph Shelton, Karl Ricanek, Damon L. Woodard:
SSGA & EDA based feature selection and weighting for face recognition. 1375-1381 - Breno C. Costa, Paulo E. M. de Almeida, Evandro Caldeira:
Traffic lights timing inside microregion simulator using multiobjective optimization. 1382-1387
Representation and Operators
- Stefan Menzel:
Evolvable free-form deformation control volumes for evolutionary design optimization. 1388-1395 - Ralph Moritz, Tamara Ulrich, Lothar Thiele, Susanne Bürklen:
Mutation operator characterization: Exhaustiveness, locality, and bias. 1396-1403 - Seamus Hill, Colm O'Riordan:
Examining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapes. 1404-1411 - Antoine S. D. Dymond, Andries P. Engelbrecht, P. Stephan Heyns:
The sensitivity of single objective optimization algorithm control parameter values under different computational constraints. 1412-1419
Learning Classifier Systems
- Charalambos Ioannides, Geoff Barrett, Kerstin Eder:
Improving XCS performance on overlapping binary problems. 1420-1427 - Richard Preen, Larry Bull:
Arithmetic dynamical genetic programming in the XCSF Learning Classifier System. 1428-1435 - Cecilia Sönströd, Ulf Johansson, Rikard König:
Evolving accurate and comprehensible classification rules. 1436-1443 - Ulf Johansson, Cecilia Sönströd, Tuve Löfström:
One tree to explain them all. 1444-1451
TSP and Other Routing Problems
- Jongwon Yoon, Sung-Bae Cho:
An efficient genetic algorithm with fuzzy c-means clustering for traveling salesman problem. 1452-1456 - Regina M. Azuma, Guilherme Palermo Coelho, Fernando J. Von Zuben:
Evolutionary multi-objective optimization for the vendor-managed inventory routing problem. 1457-1464
Multi-objective Optimization I
- Hisao Ishibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yusuke Nojima:
Behavior of EMO algorithms on many-objective optimization problems with correlated objectives. 1465-1472 - Tsung-Che Chiang, Yung-Pin Lai:
MOEA/D-AMS: Improving MOEA/D by an adaptive mating selection mechanism. 1473-1480 - Adam Ghandar, Zbigniew Michalewicz:
Using cellular evolution for diversification of the balance between accurate and interpretable fuzzy knowledge bases for classification. 1481-1488 - Chuan Shi, Zhenyu Yan, Xin Pan, Yanan Cai, Bin Wu:
Multi-objective decisionmaking in the detection of comprehensive community structures. 1489-1495
Greedy Selection in Evolutionary Computation
- Mehmet Ergezer, Dan Simon:
Oppositional biogeography-based optimization for combinatorial problems. 1496-1503 - Graham Lee, John Borbone, Gary B. Parker:
Comparison of a greedy selection operator to tournament selection and a hill climber. 1504-1508 - Gary B. Parker, William T. Tarimo:
The effects of using a greedy factor in hexapod gait learning. 1509-1514
Autonomous Agent Learning
- Hisashi Handa:
Dimensionality reduction of scene and enemy information in Mario. 1515-1520 - Martin Allen, Phil Fritzsche:
Reinforcement learning with adaptive Kanerva coding for Xpilot game AI. 1521-1528 - Gary B. Parker, William T. Tarimo, Michael Cantor:
Quadruped gait learning using cyclic genetic algorithms. 1529-1534 - David L. Hancock, Gary B. Lamont:
Multi agent system for network attack classification using flow-based intrusion detection. 1535-1542
Competition: Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems III
- Riyad Alshammari, Nur Zincir-Heywood:
Is machine learning losing the battle to produce transportable signatures against VoIP traffic? 1543-1550 - Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá:
Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems. 1551-1556 - Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Ensemble differential evolution algorithm for CEC2011 problems. 1557-1564 - Ankush Mandal, Aveek Kumar Das, Prithwijit Mukherjee, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Modified differential evolution with local search algorithm for real world optimization. 1565-1572
Evolutionary Algorithms with Statistical & Machine Learning Techniques
- Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
On the limits of effectiveness in estimation of distribution algorithms. 1573-1580 - Luigi Malagò, Matteo Matteucci, Gabriele Valentini:
Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs. 1581-1588 - Julio J. Valdés, Catherine Cheung, Weichao Wang:
Evolutionary computation methods for helicopter loads estimation. 1589-1596 - Luhan Zhou, Aimin Zhou, Guixu Zhang, Chuan Shi:
An estimation of distribution algorithm based on nonparametric density estimation. 1597-1604
Real World Applications VI
- Antonio López Jaimes, Alfredo Arias Montaño, Carlos A. Coello Coello:
Preference incorporation to solve many-objective airfoil design problems. 1605-1612 - Paul Walsh, Prasad Gade:
The use of an aesthetic measure for the evolution of fractal landscapes. 1613-1619 - Mohamad M. Awad, Kenneth A. De Jong:
Optimization of spectral signatures selection using multi-objective genetic algorithms. 1620-1627 - Sven Tomforde, Andreas Brameshuber, Jörg Hähner, Christian Müller-Schloer:
Restricted on-line learning in real-world systems. 1628-1635
Innovations in PSO Algorithms
- Jingxuan Wei, Mengjie Zhang:
A memetic particle swarm optimization for constrained multi-objective optimization problems. 1636-1643 - Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems. 1644-1648 - Cedric Seren:
A hybrid Jumping Particle Swarm Optimization method for high dimensional unconstrained discrete problems. 1649-1656 - Christopher K. Monson:
Simple adaptive cognition for PSO. 1657-1664
Novel Applications
- Ju-Won Hwang, Youngseol Lee, Sung-Bae Cho:
Structure evolution of dynamic Bayesian network for traffic accident detection. 1655-1671 - Myriam Abramson, Ian Will, Ranjeev Mittu:
Hybrid tuning of an evolutionary algorithm for sensor allocation. 1672-1678 - Wen-Chyuan Chiang, Gangshu Cai, Xiaojing Xu, Ganesh Mudunuri, Weihang Zhu:
Two-stage Tabu - Particle swarm algorithms for the facility layout problem with size constraints. 1679-1686
Evolutionary Computation in Medical Image Analysis
- Antonio LaTorre, Santiago Muelas, José María Peña Sánchez, Roberto Santana, Ángel Merchán-Pérez, José-Rodrigo Rodríguez:
A differential evolution algorithm for the detection of synaptic vesicles. 1687-1694 - Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Brain cine MRI segmentation based on a multiagent algorithm for dynamic continuous optimization. 1695-1702
Multi-objective Optimization II
- Manuel Blanco Abello, Lam Thu Bui, Zbigniew Michalewicz:
An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part I. 1703-1710 - Manuel Blanco Abello, Lam Thu Bui, Zbigniew Michalewicz:
An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part II. 1711-1718 - Günter Rudolph:
On geometrically fast convergence to optimal dominated hypervolume of set-based multiobjective evolutionary algorithms. 1719-1723 - Zhenan He, Gary G. Yen:
An ensemble method for performance metrics in multiobjective evolutionary algorithms. 1724-1729 - Prakash Shelokar, Arnaud Quirin, Oscar Cordón:
Subgraph mining in graph-based data using multiobjective evolutionary programming. 1730-1737
Poster Session Tuesday
- Le Thanh Xuan Yen, Deepak Sharma, Dipti Srinivasan, Pindoriya Naran Manji:
A modified hybrid particle swarm optimization approach for unit commitment. 1738-1745 - Hong Zhang:
Assessment of an evolutionary particle swarm optimizer with inertia weight. 1746-1753 - Hong Zhang:
An analysis of multiple particle swarm optimizers with inertia weight with diversive curiosity. 1754-1761 - Anthony S. J. Tjiong, Sildomar T. Monteiro:
Feature selection with PSO and kernel methods for hyperspectral classification. 1762-1769 - Chih-Li Huo, Tzu-Ying Lai, Tsung-Ying Sun:
The preliminary study on multi-swarm sharing particle swarm optimization: Applied to UAV path planning problem. 1770-1776 - Jie Li, Changwen Zheng, Xiaohui Hu:
A hypervolume based approach for minimal visual coverage shortest path. 1777-1784 - Min-Nan Hsieh, Tsung-Che Chiang, Li-Chen Fu:
A hybrid constraint handling mechanism with differential evolution for constrained multiobjective optimization. 1785-1792 - Yudai Shirasaki, Sho Shimomura, Masaki Sugimoto, Yoko Uwate, Yoshifumi Nishio:
Effectiveness of guidepost pheromone for Honeybee Colony Optimization. 1793-1798 - Zhengmao Ye, Habib Mohamadian:
Strengthen accuracy of feature recognition via integration of ant colony detection and adaptive contour tracking. 1799-1804 - Chi-nien Lin, Chih-Li Huo, Shu-Yan Lin, Yu-Hsiang Yu, Tsung-Ying Sun:
Taguchi-based disturbance with tournament selection to improve on MOPSO. 1805-1810 - Takahiro Tsujimoto, Takuya Shindo, Kenya Jin'no:
The neighborhood of canonical deterministic PSO. 1811-1817 - Yu-Hsuan Huang, Chuan-Kang Ting:
Genetic algorithm with path relinking for the multi-vehicle selective pickup and delivery problem. 1818-1825 - Mohamed Khairy, Magda B. Fayek, Elsayed E. Hemayed:
PSO2: Particle swarm optimization with PSO-based local search. 1826-1832 - Sheng-Ta Hsieh, Shih-Yuan Chiu, Shi-Jim Yen:
Sharing mutation genetic algorithm for solving multi-objective problems. 1833-1839 - Nizamul Morshed, Madhu Chetty:
Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions. 1840-1847 - Mohsen Mousavi, Shaikh Hoque, Shahryar Rahnamayan, Ibrahim Dincer, Greg F. Naterer:
Optimal design of an air-cooling system for a Li-Ion battery pack in Electric Vehicles with a genetic algorithm. 1848-1855 - Elhadj Benkhelifa, Mansour Moniri, Ashutosh Tiwari, Alfonso G. De Rueda:
Evolutionary multi-objective design optimisation of energy harvesting MEMS: The case of a Piezoelectric. 1856-1863 - Jingyu Zhang, Shiping Chen, David Levy, Yongzhong Lu:
Feedback loop mechanisms based particle swarm optimization with neighborhood topology. 1864-1871 - Eduardo Mojica-Nava, Nicanor Quijano:
A replicator dynamics weighted control technique for a DC-DC converter. 1872-1878 - Edwin Chao Shi, Frank H. F. Leung, Johnny C. Y. Lai:
An adaptive differential evolution with unsymmetrical mutation. 1879-1886 - Ping-Lin Chen, Ming-Chin Yang, Tsung-Ying Sun:
PSO-based on-line tuning PID controller for setpoint changes and load disturbance. 1887-1894 - Paulo Parracho, Rui Ferreira Neves, Nuno Horta:
Trading with optimized uptrend and downtrend pattern templates using a genetic algorithm kernel. 1895-1901 - Rodica Ioana Lung, Dumitru Dumitrescu:
A new evolutionary approach to minimax problems. 1902-1905 - Hai-Lin Liu, Fangqing Gu:
A improved NSGA-II algorithm based on sub-regional search. 1906-1911 - Antonino Feitosa Neto, Anne M. P. Canuto, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
Optimization techniques for the selection of members and attributes in ensemble systems. 1912-1919 - Pedro Paulo Balbi de Oliveira, Mateus Interciso:
Ternary representation improves the search for binary, one-dimensional density classifier cellular automata. 1920-1926 - Luis A. Scola, Oriane Magela Neto, Ricardo H. C. Takahashi, Sergio A. A. G. Cerqueira:
Multi-objective optimal multiple reservoir operation. 1927-1933 - Guillermo Leguizamón, Carlos A. Coello Coello:
A Multi-Region Differential Evolution approach for continuous optimization problems. 1934-1940 - Saurav Ghosh, Subhrajit Roy, Swagatam Das, Ajith Abraham, Sk. Minhazul Islam:
Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm. 1941-1949 - Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Subhrajit Roy:
A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks. 1950-1957
Innovations in Evolutionary Programming
- Victor M. Landassuri-Moreno, John A. Bullinaria:
Biasing the evolution of modular neural networks. 1958-1965 - Tatiana V. Polushina, Georgy Sofronov:
Change-point detection in biological sequences via genetic algorithm. 1966-1971
Differential Evolution Approaches to Complex Problems
- Rammohan Mallipeddi, Giovanni Iacca, Ponnuthurai Nagaratnam Suganthan, Ferrante Neri, Ernesto Mininno:
Ensemble strategies in Compact Differential Evolution. 1972-1977 - Jorge Sebastian Hernández-Domínguez, Gregorio Toscano Pulido:
A comparison on the search of particle swarm optimization and differential evolution on multi-objective optimization. 1978-1985 - Xiaofen Lu, Ke Tang, Xin Yao:
Classification-assisted Differential Evolution for computationally expensive problems. 1986-1993 - Paulo Sérgio Prampero, Romis Ribeiro Faissol Attux:
Magnetic particle swarm optimization with estimation of distribution. 1994-2001
Evolutionary Games
- Arash Shaban-Nejad, Volker Haarslev:
An abstract representation model for evolutionary analysis of multi-agent interactions. 2002-2009 - Garrison W. Greenwood, Shubham Chopra:
A numerical analysis of the evolutionary iterated snowdrift game. 2010-2016 - Antonio Fernández-Ares, Antonio Miguel Mora, Juan Julián Merelo Guervós, Pablo García-Sánchez, Carlos M. Fernandes:
Optimizing player behavior in a real-time strategy game using evolutionary algorithms. 2017-2024 - Kai Olav Ellefsen:
Dynamic robot scheduling using a genetic algorithm. 2025-2032
Evolutionary Computation in Dynamic and Uncertain Environments
- Carlos R. B. Azevedo, Aluízio F. R. Araújo:
Generalized immigration schemes for dynamic evolutionary multiobjective optimization. 2033-2040 - Sanyou Zeng, Shizhong Chen, Jiang Zhao, Aimin Zhou, Zhengjun Li, Hongyong Jing:
Dynamic constrained multi-objective model for solving constrained optimization problem. 2041-2046 - Mardé Helbig, Andries P. Engelbrecht:
Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. 2047-2054
Real World Applications VII
- Tiril Anette Langfeldt Rødland:
Classifying glyphs by combining evolution and learning. 2055-2062 - Duncan Anthony Coulter, Elizabeth Marie Ehlers:
Biologically inspired obsolescence management in mobile agent systems: A dynamic, service oriented approach. 2063-2070 - Aniesha Alford, Caresse Hansen, Gerry V. Dozier, Kelvin S. Bryant, John C. Kelly, Tamirat Abegaz, Karl Ricanek, Damon L. Woodard:
GEC-based multi-biometric fusion. 2071-2074 - Douglas Mota Dias, Mauricio Pamplona Pires, Omar Paranaiba Vilela Neto:
Self-assembly quantum dots growth prediction by quantum-inspired linear genetic programming. 2075-2082
Evolved Neural Networks and Numerical Optimization
- James Jian Qiao Yu, Albert Y. S. Lam, Victor O. K. Li:
Evolutionary artificial neural network based on Chemical Reaction Optimization. 2083-2090 - Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms. 2091-2098
Multi-objective Optimization III
- Wesam Herbawi, Michael Weber:
Comparison of multiobjective evolutionary algorithms for solving the multiobjective route planning in dynamic multi-hop ridesharing. 2099-2106 - Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vrancken, Jan van den Berg, Carlos A. Coello Coello:
Accelerating convergence towards the optimal pareto front. 2107-2114 - Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello, Eduardo Rodriguez-Tello:
Effective ranking + speciation = Many-objective optimization. 2115-2122 - Amit Saha, Tapabrata Ray, Warren F. Smith:
Towards practical evolutionary robust multi-objective optimization. 2123-2130
Evolutionary Computation Theory
- Kent McClymont, Ed Keedwell:
Benchmark multi-objective optimisation test problems with mixed encodings. 2131-2138 - Alan J. Lockett, Risto Miikkulainen:
Measure-theoretic evolutionary annealing. 2139-2146 - Michael T. M. Emmerich, André H. Deutz, Jan Willem Klinkenberg:
Hypervolume-based expected improvement: Monotonicity properties and exact computation. 2147-2154 - Alan Díaz-Manríquez, Gregorio Toscano Pulido, Wilfrido Gómez-Flores:
On the selection of surrogate models in evolutionary optimization algorithms. 2155-2162
Engineering Applications I
- Jon Spangenberg, Cem Celal Tutum, Jesper Henri Hattel, Nicolas Roussel, Mette Rica Geiker:
Optimization of casting process parameters for homogeneous aggregate distribution in self-compacting concrete: A feasibility study. 2163-2169 - Anupam Trivedi, Naran M. Pindoriya, Dipti Srinivasan, Deepak Sharma:
Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling. 2170-2177 - Salomão Sampaio Madeiro, Edson Galvao, Celso Cavellucci, Christiano Lyra, Fernando J. Von Zuben:
Simultaneous capacitor placement and reconfiguration for loss reduction in distribution networks by a hybrid genetic algorithm. 2178-2185 - Liu Huideng, Qiu Arui:
Space active noise control system design with multi-objective genetic algorithms. 2186-2192
Complex Networks and Evolutionary Computation I
- Babak Amiri, Liaquat Hossain, John W. Crawford:
An efficient multiobjective evolutionary algorithm for community detection in social networks. 2193-2199 - Camelia Chira, Anca Gog:
Fitness evaluation for overlapping community detection in complex networks. 2200-2206 - Jeffrey Naruchitparames, Mehmet Hadi Gunes, Sushil J. Louis:
Friend recommendations in social networks using genetic algorithms and network topology. 2207-2214
Differential Evolution II
- Tetsuyuki Takahama, Setsuko Sakai:
Efficient nonlinear optimization by differential evolution with a rotation-invariant local sampling operation. 2215-2222 - Uday K. Chakraborty, Swagatam Das, Travis E. Abbott:
Clustering in mobile ad hoc networks with differential evolution. 2223-2228 - Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
An adaptive differential evolution algorithm. 2229-2236
Evolutionary Games and Multi-agent Systems I
- Salem Fawaz Adra, Mariam Kiran, Phil McMinn, Neil Walkinshaw:
A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications. 2237-2244 - Abbas Sarraf Shirazi, Sebastian von Mammen, Christian Jacob:
Hierarchical self-organized learning in agent-based modeling of the MAPK signaling pathway. 2245-2251 - Belal Al-Khateeb, Graham Kendall:
The importance of look-ahead depth in evolutionary checkers. 2252-2258 - Lutao Wang, Shingo Mabu, Kotaro Hirasawa:
Genetic Network Programming with updating rule accumulation. 2259-2266
Evolutionary Computation in Network Optimization
- Natã Goulart da Silva, Sérgio Ricardo de Souza, Luiz Gustavo Dias, Thiago F. Noronha:
Biased random-key genetic algorithm for fiber installation in Optical Network Optimization. 2267-2271 - Miguel Rocha, Tiago Sá, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
Multiobjective Evolutionary Algorithms for intradomain routing optimization. 2272-2279 - Jing-Hui Zhong, Jun Zhang:
Energy-efficient local wake-up scheduling in wireless sensor networks. 2280-2284 - Adrian Schröder, Clemens Wrzodek, Johannes Wollnik, Andreas Dräger, Dierk Wanke, Kenneth W. Berendzen, Andreas Zell:
Inferring transcriptional regulators for sets of co-expressed genes by multi-objective evolutionary optimization. 2285-2292
Biometrics, Bioinformatics and Biomedical Applications I
- Chris Miller, Frank W. Moore, Brendan Babb, Michael R. Peterson:
Improved reconstruction of quantized CT scans via genetic algorithms. 2293-2299 - Camelia Chira:
A hybrid evolutionary approach to protein structure prediction with lattice models. 2300-2306 - Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido:
Comparing alternative energy functions for the HP model of protein structure prediction. 2307-2314 - Sameh Kessentini, Dominique Barchiesi, Thomas Grosges, Marc Lamy de la Chapelle:
Particle swarm optimization and evolutionary methods for plasmonic biomedical applications. 2315-2320
Heuristics and Hyper Heuristics
- Rodrigo Pasti, Fernando J. Von Zuben, Renato Dourado Maia, Leandro Nunes de Castro:
Heuristics to avoid redundant solutions on population-based multimodal continuous optimization. 2321-2328 - Lam Thu Bui, Stephen Baker, Axel Bender, Hussein A. Abbass, Michael Barlow, Ruhul A. Sarker:
A grid-based heuristic for two-dimensional packing problems. 2329-2336 - Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization. 2337-2344 - Azadeh Alimadad, Vahid Dabbaghian, Suraj K. Singh, Herbert H. Tsang:
Modeling HIV spread through sexual contact using a cellular automaton. 2345-2350
Multi-objective Optimization IV
- Julien Legriel, Scott Cotton, Oded Maler:
On universal search strategies for multi-criteria optimization using weighted sums. 2351-2358 - Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães, Jaime A. Ramírez:
A comparison of dominance criteria in many-objective optimization problems. 2359-2366 - Saúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello:
A nonlinear simplex search approach for multi-objective optimization. 2367-2374 - Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. 2375-2382
Coevolutionary Systems
- Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Wentong Cai, Philip Hingston:
Studies on Pareto-based multi-objective competitive coevolutionary dynamics. 2383-2390 - Daniel Rothman, Sean Luke, Keith Sullivan:
Do multiple trials help Univariate methods? 2391-2398 - Daniel Le Ly, Hod Lipson:
Trainer selection strategies for coevolving rank predictors. 2399-2406 - Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz:
Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis. 2407-2414 - Yun Wen, Hua Xu:
A cooperative coevolution-based pittsburgh learning classifier system embedded with memetic feature selection. 2415-2422
Engineering Applications II
- Laurent Dumas, Mohammed El Rhabi, Gilles Rochefort:
An evolutionary approach for blind deconvolution of barcode images with nonuniform illumination. 2423-2428 - Mehdi Salmani Jelodar, Sebastian Steiger, Abhijeet Paul, Gerhard Klimeck:
Model development for lattice properties of gallium arsenide using parallel genetic algorithm. 2429-2435 - Mohammad R. Raeesi N., Ziad Kobti:
A Machine Operation Lists based Memetic Algorithm for Job Shop Scheduling. 2436-2443 - Jan Braun, Johannes Krettek, Frank Hoffmann, Torsten Bertram:
Structure and parameter identification of nonlinear systems with an evolution strategy. 2444-2451
Poster Session Wednesday
- Natalia Flora de Lima, Teresa Bernarda Ludermir:
Frankenstein PSO applied to neural network weights and architectures. 2452-2456 - Yu Wang, Bin Li, Zhen He:
Enhancing differential evolution with effective evolutionary local search in memetic framework. 2457-2464 - Hamed Sajjadi Kia, Cristinel Ababei:
A new fault-tolerant and congestion-aware adaptive routing algorithm for regular Networks-on-Chip. 2465-2472 - Yafei Xing, Shingo Mabu, Kotaro Hirasawa:
Pruning generalized rules for stock markets accumulated by Genetic Network Programming with Rule Accumulation. 2473-2479 - Zhanghui Chen, Ping Luo:
QISA: Incorporating quantum computation into Simulated Annealing for optimization problems. 2480-2487 - Yao-Chen Chuang, Chyi-Tsong Chen:
A study on real-coded genetic algorithm for process optimization using ranking selection, direction-based crossover and dynamic mutation. 2488-2495 - Hecheng Li, Yuping Wang:
A real-binary coded genetic algorithm for solving nonlinear bilevel programming with nonconvex objective functions. 2496-2500 - Takuya Shindo, Takuya Kurihara, Hiroyuki Taguchi, Kenya Jin'no:
Particle swarm optimization for single phase PWM inverters. 2501-2505 - Ki-Baek Lee, Jong-Hwan Kim:
Multi-objective particle swarm optimization with preference-based sorting. 2506-2513 - Weicai Zhong, Yang Zhang, Jing Liu:
Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study. 2514-2518 - Dipti Srinivasan, Ly Trong Trung:
Co-evolutionary bidding strategies for buyers in electricity power markets. 2519-2526 - Deepak Sharma, Dipti Srinivasan, Anupam Trivedi:
Multi-agent approach for profit based unit commitment. 2527-2533 - Nobuo Namura, Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi:
Kriging/RBF-hybrid response surface method for highly nonlinear functions. 2534-2541 - Xinfang Ji, Dun-Wei Gong, Xiaoping Ma:
Solving optimization problems with intervals and hybrid indices using evolutionary algorithms. 2542-2549 - Kazuaki Masuda, Hirofumi Yokota, Kenzo Kurihara:
An empirical study on the search directions of differential evolution. 2550-2557 - Fumiya Kudo, Tomohiro Yoshikawa, Takeshi Furuhashi:
A study on analysis of design variables in Pareto solutions for conceptual design optimization problem of hybrid rocket engine. 2558-2562 - Zhi-hui Zhan, Jun Zhang:
Orthogonal learning particle swarm optimization for power electronic circuit optimization with free search range. 2563-2570 - Francisco Fernández, Francisco Chávez de la O, Rafael Alcalá, Francisco Herrera:
Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. 2571-2577 - Yoshitaka Kameya, Chativit Prayoonsri:
Pattern-based preservation of building blocks in genetic algorithms. 2578-2585 - Amir Ahmadi-Javid:
Anarchic Society Optimization: A human-inspired method. 2586-2592 - Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Multi-objective evolutionary algorithm for biclustering in microarrays data. 2593-2599
Complex Networks and Evolutionary Computation II
- Remzi Celebi, Hürevren Kiliç:
Mobile Prisoner's Dilemma game played on diverse habitats. 2600-2604 - Shuguang Li, Jianping Yuan:
The modularity in freeform evolving neural networks. 2605-2610 - Eun-Sol Kim, JungWoo Ha, Wi Hoon Jung, Joon Hwan Jang, Jun Soo Kwon, Byoung-Tak Zhang:
Mutual information-based evolution of hypernetworks for brain data analysis. 2611-2617
Differential Evolution III
- Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
Integrated strategies differential evolution algorithm with a local search for constrained optimization. 2618-2625 - Hui Wang, Shahryar Rahnamayan, Zhijian Wu:
Adaptive Differential Evolution with variable population size for solving high-dimensional problems. 2626-2632 - Nasimul Noman, Hitoshi Iba:
Solving dynamic economic dispatch problems using cellular differential evolution. 2633-2640 - Ali Esmailzadeh, Shahryar Rahnamayan:
Enhanced Differential Evolution using center-based sampling. 2641-2648 - Lina Jia, Sanyou Zeng, Dong Zhou, Aimin Zhou, Zhengjun Li, Hongyong Jing:
Dynamic multi-objective differential evolution for solving constrained optimization problem. 2649-2654
Evolutionary Games and Multi-agent Systems II
- Réka Nagy, Dumitru Dumitrescu, Rodica Ioana Lung:
Fuzzy equilibria for games involving n > 2 players. 2655-2661 - Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda:
Group evolution: Emerging synergy through a coordinated effort. 2662-2668 - Juan Julián Merelo Guervós, Antonio Miguel Mora, Carlos Cotta:
Optimizing worst-case scenario in evolutionary solutions to the MasterMind puzzle. 2669-2676 - Anthony Knittel, Terry Bossomaier:
Formation and activation of feature hierarchies under reinforcement. 2677-2684
Artificial Ecology and Artificial Life
- Daniel A. Ashlock, Justin Schonfeld, Paul D. McNicholas:
Translation tables: A genetic code in a evolutionary algorithm. 2685-2692 - Joel Lehman, Kenneth O. Stanley:
Improving evolvability through novelty search and self-adaptation. 2693-2700 - Kobus de Bruyn, Geoff Nitschke, Willem S. van Heerden:
Evolutionary algorithms and Particle Swarm Optimization for artificial language evolution. 2701-2708
Biometrics, Bioinformatics and Biomedical Applications II
- Márcio Dorn, Luciana S. Buriol, Luís C. Lamb:
A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. 2709-2716 - In Soo Oh, Yun-Geun Lee, Robert Ian (Bob) McKay:
Simulating chemical evolution. 2717-2724 - Aniesha Alford, Khary Popplewell, Gerry V. Dozier, Kelvin S. Bryant, John C. Kelly, Joshua Adams, Tamirat Abegaz, Joseph Shelton, Karl Ricanek, Damon L. Woodard:
A comparison of GEC-based feature selection and weighting for multimodal biometric recognition. 2725-2728
Emerging Areas
- Preethika Kumar, Steven R. Skinner, Sahar Daraeizadeh:
Nearest-neighbor architecture to overcome effects of qubit precessions in gate operations. 2729-2734 - Ji-Hoon Lee, Bado Lee, Joon Shik Kim, Russell J. Deaton, Byoung-Tak Zhang:
A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers. 2735-2742
Multi-objective Optimization V
- Carlos R. B. Azevedo, Aluízio F. R. Araújo:
Correlation between diversity and hypervolume in evolutionary multiobjective optimization. 2743-2750 - Stefan Eppe, Manuel López-Ibáñez, Thomas Stützle, Yves De Smet:
An experimental study of preference model integration into multi-objective optimization heuristics. 2751-2758 - Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry:
On dynamic multi-objective optimization, classification and performance measures. 2759-2766 - Jian Xiong, Yingwu Chen, Jing Liu, Hussein A. Abbass:
An evolutionary multi-objective scenario-based approach for Stochastic Resource Investment Project Scheduling. 2767-2774
Engineering Applications III
- Daniel M. Muñoz, Carlos H. Llanos, Leandro dos Santos Coelho, Mauricio Ayala-Rincón:
Opposition-based shuffled PSO with passive congregation applied to FM matching synthesis. 2775-2781 - Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel:
Higher-level innovization: A case study from Friction Stir Welding process optimization. 2782-2789 - Yoshitaka Sakurai, Kouhei Takada, Natsuki Tsukamoto, Takashi Onoyama, Rainer Knauf, Setsuo Tsuruta:
A simple optimization method based on Backtrack and GA for delivery schedule. 2790-2797 - Ahmed M. A. Haidar, Hazizulden Abdul Aziz, Khaled M. G. Noman, Rashad Al-Jawfi:
An intelligent placement of distributed capacitance based on loss minimization. 1-5
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