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ORCIDCEC 2017: Donostia, San Sebastián, Spain
- 2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017. IEEE 2017, ISBN 978-1-5090-4601-0
- José Antonio Lozano:
General chair's welcome. - Jérémie Dubois-Lacoste, Thomas Stützle
:
Tuning of a stigmergy-based traffic light controller as a dynamic optimization problem. 1-8 - Weishi Shao, Dechang Pi, Zhongshi Shao:
A hybrid iterated greedy algorithm for the distributed no-wait flow shop scheduling problem. 9-16 - Shuai Wang, Jing Liu:
A multi-agent genetic algorithm for improving the robustness of communities in complex networks against attacks. 17-22 - Shuai Wang, Jing Liu:
Enhancing the robustness of complex networks against edge-based-attack cascading failures. 23-28 - Sina Torabi, Mattias Wahde:
Fuel consumption optimization of heavy-duty vehicles using genetic algorithms. 29-36 - A. Rezaee Jordehi:
Gravitational search algorithm with linearly decreasing gravitational constant for parameter estimation of photovoltaic cells. 37-42 - Yawen Zhou, Jing Liu:
A multi-agent genetic algorithm for multi-period emergency resource scheduling problems in uncertain traffic network. 43-50 - Xiaohui Gan, Jing Liu:
A multi-objective evolutionary algorithm for emergency logistics scheduling in large-scale disaster relief. 51-58 - José Luis Soncco-Álvarez, Mauricio Ayala-Rincón:
Variable neighborhood search for the large phylogeny problem using gene order data. 59-66 - Karan K. Budhraja, Tim Oates:
Neuroevolution-based Inverse Reinforcement Learning. 67-76 - Partha P. Biswas, Noor H. Awad, Ponnuthurai N. Suganthan, Mostafa Z. Ali, Gehan A. J. Amaratunga:
Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm. 77-82 - Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal placement of wind turbines in a windfarm using L-SHADE algorithm. 83-88 - Yan Li, Tao Yue, Shaukat Ali, Li Zhang:
A multi-objective and cost-aware optimization of requirements assignment for review. 89-96 - Kiyoharu Tagawa, Shun Miyanaga:
Weighted empirical distribution based approach to Chance Constrained Optimization Problems using Differential Evolution. 97-104 - Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Qingfu Zhang:
Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. 105-112 - Leonardo Vanneschi, Illya Bakurov, Mauro Castelli:
An initialization technique for geometric semantic GP based on demes evolution and despeciation. 113-120 - Leonardo Vanneschi, Bernardo Galvão:
A parallel and distributed semantic Genetic Programming system. 121-128 - Christian Blum, Maria J. Blesa:
A hybrid evolutionary algorithm based on solution merging for the longest arc-preserving common subsequence problem. 129-136 - Mateus H. Costa, Martín Gómez Ravetti, Rodney R. Saldanha, Eduardo G. Carrano:
An evolutionary multiobjective based approach to improve robustness in directional overcurrent relay coordination. 137-144 - Ali Wagdy Mohamed, Anas A. Hadi, Anas M. Fattouh, Kamal Mansur Jambi:
LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems. 145-152 - Rory Murphy, David Fagan, Michael O'Neill:
Gems: A novel method to accelerate Evolutionary Algorithms. 153-160 - Kenneth L. Holladay, Keith Pickens, Gregory Miller:
The effect of evaluation time variance on asynchronous Particle Swarm Optimization. 161-168 - Karoliina Oksanen, Ting Hu:
Lexicase selection promotes effective search and behavioural diversity of solutions in Linear Genetic Programming. 169-176 - Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Sara Silva:
Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. 177-184 - Luciano Perdigão Cota, Frederico Gadelha Guimarães, Fernando B. de Oliveira, Marcone Jamilson Freitas Souza:
An Adaptive Large Neighborhood Search with Learning Automata for the Unrelated Parallel Machine Scheduling Problem. 185-192 - Gongyi Xia, Simone A. Ludwig:
Object tracking using Particle Swarm Optimization and Earth mover's distance. 193-200 - Fabian Franz, Jan Paredis, Rico Möckel:
On the combination of coevolution and novelty search. 201-208 - Zhun Fan, Yi Fang, Wenji Li, Jiewei Lu, Xinye Cai, Caimin Wei:
A comparative study of constrained multi-objective evolutionary algorithms on constrained multi-objective optimization problems. 209-216 - Filipe de Oliveira Saraiva, Lars Nordström, Eduardo Nobuhiro Asada:
Multi-agent systems applied to power loss minimization in distribution-level smart grid with dynamic load variation. 217-224 - Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray:
A heuristic algorithm for solving resource constrained project scheduling problems. 225-232 - Omar Abdelkafi, Lhassane Idoumghar, Julien Lepagnot, Jean-Louis Paillaud:
MEmory Genetic Algorithm Hybridized for Zeolites. 233-240 - László Barna Iantovics, Adrian Gligor, Veska Georgieva:
Detecting Outlier Intelligence in the behavior of intelligent coalitions of agents. 241-248 - Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom:
Investigating IKK dynamics in the NF-κB signalling pathway using X-Machines. 249-256 - Oriehi Edisemi Destiny Anyaiwe, Gautam B. Singh, George D. Wilson, Timothy J. Geddes:
Weighted Manhattan Distance Classifier; SELDI data for Alzheimer's disease diagnosis. 257-262 - Ran Cheng, Miqing Li, Xin Yao:
Parallel peaks: A visualization method for benchmark studies of multimodal optimization. 263-270 - Chung-Yao Chuang, Stephen F. Smith:
A study of agnostic hyper-heuristics based on sampling solution chains. 271-278 - Jan Paredis:
Exploring the evolution of Genotype Phenotype Mappings. 279-285 - Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
Particle Swarm Optimisation with genetic operators for feature selection. 286-293 - Xianyao Ling, Xinxin Feng, Zhonghui Chen, Yiwen Xu, Haifeng Zheng:
Short-term traffic flow prediction with optimized Multi-kernel Support Vector Machine. 294-300 - Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain:
Inferior solutions in Gaussian EDA: Useless or useful? 301-307 - Michal Witold Przewozniczek:
Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals. 308-316 - Rituparna Datta, Kalyanmoy Deb, Aviv Segev:
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. 317-324 - Zhonghui Chen, Yeting Lin, Xinxin Feng, Haifeng Zheng, Yiwen Xu:
Incentive mechanism for participatory sensing: A contract-based approach. 325-332 - Jianxia Li, Ruochen Liu, Mingyang Zhang, Yangyang Li:
Ensemble-based multi-objective clustering algorithms for gene expression data sets. 333-340 - Xiaogang Fu, Jianyong Sun:
A new learning based dynamic multi-objective optimisation evolutionary algorithm. 341-348 - Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Optimal parameter regions for particle swarm optimization algorithms. 349-356 - Zhenan He, Gary G. Yen:
Comparison of visualization approaches in many-objective optimization. 357-363 - Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. 364-371 - Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. 372-379 - Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Ali M. Shatnawi:
A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems. 380-386 - Dipak Gaire Sharma, Ivan Tanev, Katsunori Shimohara:
Evolutionary optimization of weight coefficients of power spectrum for detection of driver-induced steering oscillations. 387-394 - Kai-Zhou Gao, Yicheng Zhang, Ali Sadollah, Rong Su:
Improved artificial bee colony algorithm for solving urban traffic light scheduling problem. 395-402 - Pierre Parrend, Pierre David, Fabio Guigou, Cedric Pupka, Pierre Collet:
The AWA Artificial emergent aWareness Architecture model for Artificial Immune Ecosystems. 403-410 - Clara Pizzuti, Annalisa Socievole:
Many-objective optimization for community detection in multi-layer networks. 411-418 - Tim Ribaric, Sheridan K. Houghten:
Genetic programming for improved cryptanalysis of elliptic curve cryptosystems. 419-426 - Yanan Sun, Gary G. Yen, Zhang Yi:
Global view-based selection mechanism for many-objective evolutionary algorithms. 427-434 - Juan Li, Jie Chen, Bin Xin, Lu Chen:
Efficient multi-objective evolutionary algorithms for solving the multi-stage weapon target assignment problem: A comparison study. 435-442 - Wenfeng Liu, Shanfeng Wang, Maoguo Gong, Mingyang Zhang:
An improved multiobjective evolutionary approach for community detection in multilayer networks. 443-449 - Feng Chen, Jiao Shi, Yunhong Ma, Yu Lei, Maoguo Gong:
Differential evolution algorithm with learning selection strategy for SAR image change detection. 450-457 - Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang:
Multi-objective endmember extraction for hyperspectral images. 458-465 - Na Li, Yu Lei, Jiao Shi, Maoguo Gong:
Fuzzy multi-objective sparse feature learning. 466-473 - Zedong Tang, Maoguo Gong, Mingyang Zhang:
Evolutionary multi-task learning for modular extremal learning machine. 474-479 - Javier Del Ser, Ana I. Torre-Bastida, Ibai Lana, Miren Nekane Bilbao, Cristina Perfecto:
Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria. 480-487 - Qixiang Wang, Maoguo Gong, Chao Song, Shanfeng Wang:
Discrete particle swarm optimization based influence maximization in complex networks. 488-494 - Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu:
Memetic algorithm based feature selection for hyperspectral images classification. 495-502 - Haibo Yu, Ying Tan, Chao-Li Sun, Jianchao Zeng:
Clustering-based evolution control for surrogate-assisted particle swarm optimization. 503-508 - Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Yuhui Shi, Zhihua Cui:
An improved Brain Storm Optimization algorithm based on graph theory. 509-515 - Jerry Swan:
Harmonic analysis and resynthesis of Sliding-Tile Puzzle heuristics. 516-524 - Alexandre Silvestre Ferreira, Richard Aderbal Gonçalves, Aurora T. R. Pozo:
A Multi-Armed Bandit selection strategy for Hyper-heuristics. 525-532 - Enrique Bermejo Nievas, Manuel Chica, Sancho Salcedo-Sanz, Oscar Cordón:
Coral Reef Optimization for intensity-based medical image registration. 533-540 - Marco A. Contreras-Cruz, Jose J. Lopez-Perez, Víctor Ayala-Ramírez:
Distributed path planning for multi-robot teams based on Artificial Bee Colony. 541-548 - Shamim Mashrouteh, Shahryar Rahnamayan, Ebrahim Esmailzadeh:
Optimal vibration control and innovization for rectangular plate. 549-556 - Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe:
A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. 557-564 - Christiaan Scheepers, Andries P. Engelbrecht:
Vector evaluated particle swarm optimization: The archive's influence on performance. 565-572 - Carlos García-Martínez, Sebastián Ventura:
Multi-view semi-supervised learning using genetic programming interpretable classification rules. 573-579 - Igor Rosberg de Medeiros Silva, Elizabeth Ferreira Gouvea Goldbarg, Emerson B. de Carvalho, Marco César Goldbarg:
MO-MAHM: A parallel Multi-agent Architecture for Hybridization of Metaheuristics for multi-objective problems. 580-587 - Martín González, Jose-Juan López-Espín, Juan Aparicio, Domingo Giménez, El-Ghazali Talbi:
A parameterized scheme of metaheuristics with exact methods for determining the Principle of Least Action in Data Envelopment Analysis. 588-595 - Pedro Delgado-Pérez, Inmaculada Medina-Bulo, Manuel Núñez:
Using Evolutionary Mutation Testing to improve the quality of test suites. 596-603 - Efrén Juárez-Castillo, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes:
Empirical study of bound constraint-handling methods in Particle Swarm Optimization for constrained search spaces. 604-611 - Ziming Zhu, Xiong Xu, Li Jiao:
Improved evolutionary generation of test data for multiple paths in search-based software testing. 612-620 - Pramudita Satria Palar, Koji Shimoyama:
On multi-objective efficient global optimization via universal Kriging surrogate model. 621-628 - Monica Sam, Sanjay K. Boddhu, John C. Gallagher:
A dynamic search space approach to improving learning on a simulated Flapping Wing Micro Air Vehicle. 629-635 - Lu Chen, Bin Xin, Jie Chen, Juan Li:
A virtual-decision-maker library considering personalities and dynamically changing preference structures for interactive multiobjective optimization. 636-641 - Yanyun Tao, Qinyu Wang, Yuzhen Zhang:
Genetic Fuzzy c-mean clustering-based decomposition for low power FSM synthesis. 642-648 - Handing Wang, Yaochu Jin:
Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization. 649-656 - Sedigheh Mahdavi, Shahryar Rahnamayan:
Schematic study on interaction and imbalance effects of variables for Large-Scale Optimization. 657-664 - Naoki Toriyama, Keiko Ono, Yukiko Orito:
Adaptive GA-based AR-hidden Markov model for time series forecasting. 665-672 - Conor Fahy, Shengxiang Yang, Mario Gongora:
Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. 673-680 - Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Francesco Calimeri, Sabine Van Huffel:
A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT). 681-687 - Aitor Arrieta, Shuai Wang, Urtzi Markiegi, Goiuria Sagardui, Leire Etxeberria:
Search-based test case generation for Cyber-Physical Systems. 688-697 - Borko Boskovic, Janez Brest:
Clustering and differential evolution for multimodal optimization. 698-705 - Ibai Lana, Javier Del Ser, Manuel Vélez:
A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting. 706-713 - Joong Hoon Kim, Ho Min Lee, Donghwi Jung, Ali Sadollah:
Engineering benchmark generation and performance measurement of evolutionary algorithms. 714-717 - Ricardo Henrique Remes de Lima, Aurora Trinidad Ramirez Pozo:
A study on auto-configuration of Multi-Objective Particle Swarm Optimization Algorithm. 718-725 - Mehmet Fatih Tasgetiren, Quan-Ke Pan, Damla Kizilay, Mario C. Vélez-Gallego:
A variable block insertion heuristic for permutation flowshops with makespan criterion. 726-733 - Fábio Passos, Elisenda Roca, Rafael Castro-López, Francisco V. Fernández:
An algorithm for a class of real-life multi-objective optimization problems with a sweeping objective. 734-740 - Lucas Angelo da Silveira, José Luis Soncco-Álvarez, Mauricio Ayala-Rincón:
Parallel genetic algorithms with sharing of individuals for sorting unsigned genomes by reversals. 741-748 - Mario García Valdez, José Christian Romero, Alejandra Mancilla, Juan Julián Merelo Guervós:
Exploiting the social graph: Increasing engagement in a collaborative Interactive Evolution application. 749-756 - Antonio Bolufé Röhler, Dania Tamayo-Vera, Stephen Chen:
An LaF-CMAES hybrid for optimization in multi-modal search spaces. 757-764 - Rainer Storn:
Real-world applications in the communications industry - when do we resort to Differential Evolution? 765-772 - Majid Esmaelian, Francisco J. Santos-Arteaga, Madjid Tavana, Masoumeh Vali:
Subdividing Labeling Genetic Algorithm: A new method for solving continuous nonlinear optimization problems. 773-780 - Keiko Ono, Jun-ichi Kushida:
Landscape estimation of decision-tree induction based on grammatical Evolution using rank correlation. 781-788 - Ozgur Kabadurmus, M. Serdar Erdogan, Mehmet Fatih Tasgetiren:
Design of multi-product multi-period two-echelon supply chain network to minimize bullwhip effect through differential evolution. 789-796 - Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Zixing Cai:
A decomposition based multiobjective evolutionary algorithm with semi-supervised classification. 797-804 - Daniel Molina, Francisco Moreno-Garcia, Francisco Herrera:
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement? 805-812 - Jun Liu, Ping Li, Xiaoning Ma, Jiaxun Xie:
Modeling, analysis and simulation on searching for global optimum region of particle swarm optimization. 813-821 - Oliver Strub, Norbert Trautmann:
A genetic algorithm for the UCITS-constrained index-tracking problem. 822-829 - Christie Myburgh, Kalyanmoy Deb:
Use of derived heuristics in improved performance of evolutionary optimization: An application to gold processing plant. 830-837 - Ricardo García-Ródenas, Luis Jimenez Linares, Julio Alberto López-Gómez:
A cooperative Brain Storm Optimization Algorithm. 838-845 - Azahara Camacho, Mercedes G. Merayo, Manuel Núñez:
Using fuzzy automata to diagnose and predict heart problems. 846-853 - Stanton R. Price, Derek T. Anderson:
Genetic prOgramming for image feature descriptor learning. 854-860 - Yixin Yang, Peng Li, Shouyang Wang, Bo Liu, Yongliang Luo:
Scatter search for distributed assembly flowshop scheduling to minimize total tardiness. 861-868 - Fangqing Liu, Han Huang, Zhifeng Hao:
Evolutionary algorithm with convergence speed controller for automated software test data generation problem. 869-875 - Sameh Kessentini, Dominique Barchiesi:
Convergence criteria for the particle swarm optimization in a full iterative process. 876-881 - Su Nguyen, Mengjie Zhang:
A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling. 882-889 - Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan:
Solving dynamic vehicle routing problem via evolutionary search with learning capability. 890-896 - Kostas Georgoulakos, Kostas Vergidis, George Tsakalidis, Nikolaos Samaras:
Evolutionary Multi-Objective Optimization of business process designs with pre-processing. 897-904 - Kousuke Izumiya, Masaharu Munetomo:
Multi-objective Evolutionary optimization based on Decomposition with Linkage Identification considering monotonicity. 905-912 - Zhenhua Li, Qingfu Zhang:
An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path. 913-920 - L. Feng, W. Zhou, L. Zhou, S. W. Jiang, J. H. Zhong, B. S. Da, Z. X. Zhu, Y. Wang:
An empirical study of multifactorial PSO and multifactorial DE. 921-928 - Hao Wei, Jon Timmis, Rob Alexander:
Evolving test environments to identify faults in swarm robotics algorithms. 929-935 - Michael S. Bittermann, Özer Ciftcioglu:
Situated color aesthetics by evolutionary computation. 936-943 - Daniel A. Ashlock, Andrew McEachern:
Evolutionary design of FRAX decks. 944-951 - Heiner Zille, Andre Kottenhahn, Sanaz Mostaghim:
Dynamic Distance Minimization Problems for dynamic multi-objective optimization. 952-959 - Xin Situ, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Wei-jie Yu, Zhiwen Yu, Jun Zhang:
A parallel Ant Colony System based on region decomposition for Taxi-Passenger Matching. 960-967 - Marlon Paolo Lima, Rafael Frederico Alexandre, Ricardo H. C. Takahashi, Eduardo G. Carrano:
A comparative study of Multiobjective Evolutionary Algorithms for Wireless Local Area Network design. 968-975 - Hanwei Zhang, Aimin Zhou, Guixu Zhang, Hemant Kumar Singh:
Accelerating MOEA/D by Nelder-Mead method. 976-983 - Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Learning automata induced artificial bee colony for noisy optimization. 984-991 - Wenzhe Duan, Zhengyang Li, Yixin Yang, Bo Liu, Keyao Wang:
EDA based probabilistic Memetic Algorithm for distributed blocking permutation flowshop scheduling with sequence dependent setup time. 992-999 - Franc Brglez, Borko Boskovic, Janez Brest:
On asymptotic complexity of the optimum Golomb ruler problem: From established stochastic methods to self-avoiding walks. 1000-1007 - Muhittin Yufka, Berk Ekici, Cemre Cubukcuoglu, Ioannis Chatzikonstantinou, I. Sevil Sariyildiz:
Multi-Objective skylight optimization for a healthcare facility foyer space. 1008-1014 - Camelia-Mihaela Pintea, Simone A. Ludwig, Petrica C. Pop, Oliviu Matei:
Similarities and sensitivity: Immune and ant algorithms applied towards robotics. 1015-1020 - Selim Karaman, Berk Ekici, Cemre Cubukcuoglu, Basak Kundakci Koyunbaba, Ilker Kahraman:
Design of rectangular façade modules through computational intelligence. 1021-1028 - Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese:
An evolutionary approach for fMRI big data classification. 1029-1036 - Siddhartha Verma, Panagiotis E. Hadjidoukas, Philipp Wirth, Petros Koumoutsakos:
Multi-objective optimization of artificial swimmers. 1037-1046 - Wenwen Li, Ender Özcan, Robert I. John, John H. Drake, Aneta Neumann, Markus Wagner:
A modified indicator-based evolutionary algorithm (mIBEA). 1047-1054 - Warren G. Jackson, Ender Özcan, Robert I. John:
Tuning a Simulated Annealing metaheuristic for cross-domain search. 1055-1062 - Antonio LaTorre, José-María Peña:
A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark. 1063-1070 - Antonio LaTorre, José-María Peña:
On the scalability of population restart mechanisms on large-scale global optimization. 1071-1078 - James Montgomery, Daniel A. Ashlock:
Applying the biased form of the adaptive generative representation. 1079-1086 - Noura Hamzé, Pierre Collet, Caroline Essert:
Evolutionary approaches for surgical path planning: A quantitative study on Deep Brain Stimulation. 1087-1094 - Mariana Oliveira, Bruno Borguesan, Márcio Dorn:
SADE-SPL: A Self-Adapting Differential Evolution algorithm with a loop Structure Pattern Library for the PSP problem. 1095-1102 - Claudio Sanhueza, Francia Jimenez, Regina Berretta, Pablo Moscato:
PasMoQAP: A parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem. 1103-1110 - Leonardo de Lima Correa, Mario Inostroza-Ponta, Márcio Dorn:
An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures. 1111-1118 - Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta:
Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. 1119-1126 - Ryoji Tanabe, Akira Oyama:
A note on constrained multi-objective optimization benchmark problems. 1127-1134 - Grasiele Regina Duarte, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca:
A dynamic migration policy to the Island Model. 1135-1142 - Caihong Mu, Huiwen Cheng, Wei Feng, Yi Liu, Rong Qu:
Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. 1143-1149 - Caihong Mu, Chengzhou Li, Yi Liu, Menghua Sun, Licheng Jiao, Rong Qu:
Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. 1150-1157 - Lin Li, Yun Li:
Particle filter track-before-detect algorithm with Lamarckian inheritance for improved dim target tracking. 1158-1164 - Liqiang Hou, Gang Zhao, Yue Yang, Zhaohui Hou:
Multi-objective optimization with Proper Orthogonal Decomposition and Gaussian predictive distribution. 1165-1172 - Hugo Lewi Hammer, Anis Yazidi, B. John Oommen:
On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams. 1173-1182 - Adnane Ghannem, Mohamed Salah Hamdi, Marouane Kessentini, Hany H. Ammar:
Search-based requirements traceability recovery: A multi-objective approach. 1183-1190 - Vigneysh Thangavel, Narayanan Kumarappan:
Enhanced operation of grid-connected photovoltaic system using interval type-2 fuzzy control. 1191-1198 - Vigneysh Thangavel, Narayanan Kumarappan:
Stability analysis and dynamic performance enhancement of autonomous microgrid using adaptive fuzzy PI controller. 1199-1206 - Marco Fagiani, Marco Severini, Stefano Squartini, Lucio Ciabattoni, Francesco Ferracuti, Alessandro Fonti, Gabriele Comodi:
A new open-source Energy Management framework: Functional description and preliminary results. 1207-1214 - Tomohiro Harada, Keiki Takadama:
Performance comparison of parallel asynchronous multi-objective evolutionary algorithm with different asynchrony. 1215-1222 - Hong-Kun Zheng, Jing-Jing Li, Yue-Jiao Gong, Wei-Neng Chen, Zhiwen Yu, Zhi-Hui Zhan, Ying Lin:
Link mapping-oriented ant colony system for virtual network embedding. 1223-1230 - Anupam Trivedi, Krishnendu Sanyal, Pranjal Verma, Dipti Srinivasan:
A unified differential evolution algorithm for constrained optimization problems. 1231-1238 - Laurence Hirsch, Alessandro G. Di Nuovo:
Document clustering with evolved search queries. 1239-1246 - Aashiq Parker, Geoff Nitschke:
How to best Automate Intersection Management. 1247-1254 - Rahul Mehta, Dipti Srinivasan, Pranjal Verma:
Intelligent appliance control algorithm for optimizing user energy demand in smart homes. 1255-1262 - Palina Bartashevich, Luigi Grimaldi, Sanaz Mostaghim:
PSO-based Search mechanism in dynamic environments: Swarms in Vector Fields. 1263-1270 - Francisco Fernández de Vega:
Revisiting the 4-part harmonization problem with GAs: A critical review and proposals for improving. 1271-1278 - Tessa Phillips, Mengjie Zhang, Bing Xue:
Genetic programming for solving common and domain-independent generic recursive problems. 1279-1286 - Damien O'Neill, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Common subtrees in related problems: A novel transfer learning approach for genetic programming. 1287-1294 - Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan:
Linearized domain adaptation in evolutionary multitasking. 1295-1302 - Carlos Simões, Rui Ferreira Neves, Nuno Horta:
Using sentiment from Twitter optimized by Genetic Algorithms to predict the stock market. 1303-1310 - Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic:
Single objective real-parameter optimization: Algorithm jSO. 1311-1318 - Slim Belhaiza, Rym M'Hallah, Ghassen Ben Brahim:
A new Hybrid Genetic Variable Neighborhood search heuristic for the Vehicle Routing Problem with Multiple Time Windows. 1319-1326 - Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto Castrillo, Javier Prieto, Juan Manuel Corchado, Aria Jozi, Zita A. Vale, Ganesh Kumar Venayagamoorthy:
Organization-based Multi-Agent structure of the Smart Home Electricity System. 1327-1334 - Daniel A. Ashlock, Garrison W. Greenwood:
Modeling undependable subsidies with three-player generalized divide the dollar. 1335-1342 - Xi Lin, Qingfu Zhang, Sam Kwong:
An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. 1343-1349 - Karam M. Sallam, Saber M. Elsayed, Ruhul A. Sarker, Daryl Leslie Essam:
Multi-method based orthogonal experimental design algorithm for solving CEC2017 competition problems. 1350-1357 - Petr Bujok, Josef Tvrdík:
Enhanced individual-dependent differential evolution with population size adaptation. 1358-1365 - Longmei Li, Feng Yao, Ning Jing, Michael Emmerich:
Preference incorporation to solve multi-objective mission planning of agile earth observation satellites. 1366-1373 - Willem Abraham van Aardt, Anna Sergeevna Bosman, Katherine Mary Malan:
Characterising neutrality in neural network error landscapes. 1374-1381 - Joseph Walton-Rivers, Piers R. Williams, Richard A. Bartle, Diego Perez Liebana, Simon M. Lucas:
Evaluating and modelling Hanabi-playing agents. 1382-1389 - Rafael Schmitt, Pedro Ramos, Rafael de Santiago, Luís C. Lamb:
Novel Clique enumeration heuristic for detecting overlapping clusters. 1390-1397 - Bruno Ferreira de Faria Alixandre, Márcio Dorn:
D-BRKGA: A Distributed Biased Random-Key Genetic Algorithm. 1398-1405 - Xiang Li, Dongni Li, Xuhui Wu, Hong Zheng, Yong Yin:
A cooperative co-evolution approach for a line-seru conversion problem. 1406-1411 - Utkarsh Kumar, Dipti Srinivasan, Thomas Reindl, Anupam Trivedi:
Grid ancillary service using distributed computational intelligence based control of renewables and storage systems in a distribution network. 1412-1419 - Julio C. Hernandez-Castro, David F. Barrero:
Evolutionary generation and degeneration of randomness to assess the indepedence of the Ent test battery. 1420-1427 - Meir Harel, Erella Matalon Eisenstadt, Amiram Moshaiov:
Solving Multi-Objective Games using a-priori auxiliary criteria. 1428-1435 - Josef Tvrdík, Radka Polakova:
A simple framework for constrained problems with application of L-SHADE44 and IDE. 1436-1443 - Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder. 1444-1450 - Olacir R. Castro Jr., Roberto Santana, José Antonio Lozano, Aurora T. R. Pozo:
Combining CMA-ES and MOEA/DD for many-objective optimization. 1451-1458 - Sumit Mishra, Sripama Saha, Samrat Mondal:
Unsupervised method to ensemble results of multiple clustering solutions for bibliographic data. 1459-1466 - Ruby L. V. Moritz, Heiner Zille, Sanaz Mostaghim:
Elitism and aggregation methods in partial redundant evolutionary swarms solving a multi-objective tasks. 1467-1473 - Raras Tyasnurita, Ender Özcan, Robert I. John:
Learning heuristic selection using a Time Delay Neural Network for Open Vehicle Routing. 1474-1481 - Andrés Camero, Javier Arellano-Verdejo, Christian Cintrano, Enrique Alba:
Tile map size optimization for real world routing by using differential evolution. 1482-1488 - Rafal Biedrzycki:
A version of IPOP-CMA-ES algorithm with midpoint for CEC 2017 single objective bound constrained problems. 1489-1494 - Szu-Yi Huang, Ying-Ping Chen:
Proving theorems by using evolutionary search with human involvement. 1495-1502 - Miha Ravber, Marjan Mernik, Matej Crepinsek:
Ranking Multi-Objective Evolutionary Algorithms using a chess rating system with Quality Indicator ensemble. 1503-1510 - Imen Dhief, Nourel Houda Dougui, Daniel Delahaye, Noureddine Hamdi:
A new trans-Atlantic route structure for strategic flight planning over the NAT airspace. 1511-1518 - Carlos Ortega, Massimiliano Vasile:
New heuristics for multi-objective worst-case optimization in evidence-based robust design. 1519-1526 - Xingguang Peng, Yapei Wu:
Large-scale cooperative co-evolution with bi-objective selection based imbalanced multi-modal optimization. 1527-1532 - David Grochol, Lukás Sekanina:
Multi-objective evolution of hash functions for high speed networks. 1533-1540 - Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Yaochu Jin, Tomas Kratky, Pekka Makkonen:
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system. 1541-1548 - Xianneng Li, Huiyan Yang, Meihua Yang, Xian Yang, Guangfei Yang:
Accelerating artificial bee colony algorithm with neighborhood search. 1549-1556 - Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic generation of neural networks with structured Grammatical Evolution. 1557-1564 - Peng Li, Yixin Yang, Xiying Du, Xinghua Qu, Keyang Wang, Bo Liu:
Iterated local search for distributed multiple assembly no-wait flowshop scheduling. 1565-1571 - Nam Le, Michael O'Neill, David Fagan, Anthony Brabazon:
Social Grammatical Evolution with imitation learning for real-valued function estimation. 1572-1578 - Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert:
Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem. 1579-1586 - Marco Baioletti, Alfredo Milani, Valentino Santucci:
Algebraic Particle Swarm Optimization for the permutations search space. 1587-1594 - Lennard Hartwig, Dieter Bestle:
Compressor blade design for stationary gas turbines using dimension reduced surrogate modeling. 1595-1602 - Naoki Hamada, Kazuhisa Chiba:
Knee point analysis of many-objective Pareto fronts based on Reeb graph. 1603-1612 - Przemyslaw A. Grudniewski, Adam J. Sobey:
Multi-Level Selection Genetic Algorithm applied to CEC '09 test instances. 1613-1620 - Itziar Landa-Torres, Jesus L. Lobo, Idoia Murua, Diana Manjarres, Javier Del Ser:
Multi-objective heuristics applied to robot task planning for inspection plants. 1621-1628 - Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
A square lattice probability model for optimising the Graph Partitioning Problem. 1629-1636 - Shi Cheng, Yifei Sun, Junfeng Chen, Quande Qin, Xianghua Chu, Xiujuan Lei, Yuhui Shi:
A comprehensive survey of brain storm optimization algorithms. 1637-1644 - Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Are we generating instances uniformly at random? 1645-1651 - Kamlesh Mistry, Li Zhang, Graham Sexton, Yifeng Zeng, Mengda He:
Facial expression recongition using firefly-based feature optimization. 1652-1658 - Alejandro Martín, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho:
Evolving Deep Neural Networks architectures for Android malware classification. 1659-1666 - Rahul Vijay, Satyasai Jagannath Nanda:
Declustering of an earthquake catalog based on ergodicity using parallel Grey Wolf Optimization. 1667-1674 - Javier Cózar, Luis de la Ossa, José A. Gámez:
Generation of first-order TSK rules based on the apriori + search approach. 1675-1682 - Radka Polakova:
L-SHADE with competing strategies applied to constrained optimization. 1683-1689 - Vitaliy Feoktistov, Stephane Pietravalle, Nicolas Heslot:
Optimal experimental design of field trials using Differential Evolution. 1690-1696 - Matthew Witten, Owen Clancey:
Residual dose deviation differential histogram analysis using evolutionary-optimized transform parameters for dose distribution warping in patient-specific quality assurance in external beam radiation therapy. 1697-1703 - Markus Wagner, Tobias Friedrich, Marius Lindauer:
Improving local search in a minimum vertex cover solver for classes of networks. 1704-1711 - Kenneth V. Price:
How symmetry constrains evolutionary optimizers. 1712-1719 - Marek Kidon, Roland Dobai:
Evolutionary design of hash functions for IP address hashing using genetic programming. 1720-1727 - Yanming Yang, Yiwen Sun, Zexuan Zhu:
Multi-objective memetic algorithm based on request prediction for dynamic pickup-and-delivery problems. 1728-1733 - Sabrina M. Oliveira, Mohamed Saifullah Hussin, Andrea Roli, Marco Dorigo, Thomas Stützle:
Analysis of the population-based ant colony optimization algorithm for the TSP and the QAP. 1734-1741 - Sid Shakya, Beum-Seuk Lee, Carla Di Cairano-Gilfedder, Gilbert Owusu:
Spares parts optimization for legacy telecom networks using a permutation-based evolutionary algorithm. 1742-1748 - Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung:
Improved activation schema on Automatic Clustering using Differential Evolution algorithm. 1749-1756 - Yali Wang, Longmei Li, Kaifeng Yang, Michael T. M. Emmerich:
A new approach to target region based multiobjective evolutionary algorithms. 1757-1764 - Mehmet Fatih Tasgetiren, Quan-Ke Pan, Yucel Ozturkoglu, Ozlem Koctas Cotur:
Variable block insertion heuristic for the quadratic assignment problem. 1765-1770 - Haneen Algethami, Dario Landa-Silva:
Diversity-based adaptive genetic algorithm for a Workforce Scheduling and Routing Problem. 1771-1778 - Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano:
Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission. 1779-1786 - Julie Greensmith, Michael B. Gale:
The Functional Dendritic Cell Algorithm: A formal specification with Haskell. 1787-1794 - Bruno C. Barroso, Fernando Garcia Diniz Campos Ferreira, Gustavo P. Hanaoka, Felipe D. Paiva, Rodrigo T. N. Cardoso:
Composition of investment portfolios through a combinatorial multiobjective optimization model using CVaR. 1795-1802 - Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Thomas Bäck, Michael T. M. Emmerich:
Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation. 1803-1810 - Daniela Zaharie, Flavia Micota:
Revisiting the analysis of population variance in Differential Evolution algorithms. 1811-1818 - Junfeng Chen, Mohammad Nabi Omidvar, Morteza Azad, Xin Yao:
Knowledge-based particle swarm optimization for PID controller tuning. 1819-1826 - Ameni Azzouz, Meriem Ennigrou, Lamjed Ben Said:
A self-adaptive evolutionary algorithm for solving flexible job-shop problem with sequence dependent setup time and learning effects. 1827-1834 - Abhishek Kumar, Rakesh Kumar Misra, Devender Singh:
Improving the local search capability of Effective Butterfly Optimizer using Covariance Matrix Adapted Retreat Phase. 1835-1842 - Fernando Bernardo, Gladston Moreira, Eduardo José da S. Luz, Paulo H. C. Oliveira, Alvaro Gaurda:
Exploring the scalability of multiple signatures in iris recognition using GA on the acceptance frontier search. 1843-1847 - Vidal D. Fontoura, Aurora T. R. Pozo, Roberto Santana:
Automated design of hyper-heuristics components to solve the PSP problem with HP model. 1848-1855 - Vitoantonio Bevilacqua, Antonio Brunetti, Gianpaolo Francesco Trotta, Giovanni Dimauro, Katarina Elez, Vito Alberotanza, Arnaldo Scardapane:
A novel approach for Hepatocellular Carcinoma detection and classification based on triphasic CT Protocol. 1856-1863 - Alberto Castellini, Giuditta Franco, Antonio Vella:
Age-related relationships among peripheral B lymphocyte subpopulations. 1864-1871 - Dariusz Jagodzinski, Jaroslaw Arabas:
A differential evolution strategy. 1872-1876 - Jose Lucas Matos, Andre Britto:
Multi-Swarm Algorithm Based on Archiving and Topologies for Many-objective optimization. 1877-1884 - Elaine Guerrero-Pena, Aluízio F. R. Araújo:
A Gaussian Mixture Model based local search for Differential Evolution Algorithm. 1885-1892 - Rui Wu, Jose T. Painumkal, John M. Volk, Siming Liu, Sushil J. Louis, Scott Tyler, Sergiu M. Dascalu, Frederick C. Harris Jr.:
Parameter estimation of nonlinear nitrate prediction model using genetic algorithm. 1893-1899 - Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães:
Evolutionary method for weight vector generation in Multi-Objective Evolutionary Algorithms based on decomposition and aggregation. 1900-1907 - Ole Meyer, Florian Wessling, Christina Klüver:
Finding optimized configurations for variability-intensive systems without constraint violations using a Regulatory Algorithm (RGA). 1908-1915 - Pavel Krömer, Milos Kudelka, Roman Senkerik, Michal Pluhacek:
Differential evolution with preferential interaction network. 1916-1923 - Eléonore Vissol-Gaudin, Apostolos Kotsialos, Mark K. Massey, Chris Groves, Christopher Pearson, Dagou A. Zeze, Michael C. Petty:
Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms. 1924-1931 - Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, Leonardo Vanneschi:
Towards the development of a complete GP system on an FPGA using geometric semantic operators. 1932-1939 - Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile:
Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. 1940-1947 - Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. 1948-1955 - Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana:
Population seeding techniques for Rolling Horizon Evolution in General Video Game Playing. 1956-1963 - Leticia Hernando, Fabio Daolio, Nadarajen Veerapen, Gabriela Ochoa:
Local Optima Networks of the Permutation Flowshop Scheduling Problem: Makespan vs. total flow time. 1964-1971 - Diana Manjarres, Itziar Landa-Torres, Javier Del Ser:
A local search method for graph clustering heuristics based on partitional Distribution learning. 1972-1977 - Miguel León Ortiz, Ning Xiong:
Alopex-based mutation strategy in Differential Evolution. 1978-1984 - Alessandro Baldini, Lucio Ciabattoni, Riccardo Felicetti, Francesco Ferracuti, Alessandro Freddi, Andrea Monteriù:
Nonlinear control of a photovoltaic battery system via ABC-tuned Dynamic Surface Controller. 1985-1991 - Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano:
Nature-inspired approaches for distance metric learning in multivariate time series classification. 1992-1998 - Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A novel mutation operator for the evolutionary learning of Bayesian networks. 1999-2006 - Francisco Padillo, José María Luna, Sebastián Ventura:
An evolutionary algorithm for mining rare association rules: A Big Data approach. 2007-2014 - Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains. 2015-2021 - Henry E. L. Cagnini, Rodrigo C. Barros, Márcio P. Basgalupp:
Estimation of distribution algorithms for decision-tree induction. 2022-2029 - Abdellah Rezoug, Mohamed Bader-El-Den, Dalila Boughaci:
Knowledge-based Genetic Algorithm for the 0-1 Multidimensional Knapsack Problem. 2030-2037 - Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
On the effect of local search in the multi-objective evolutionary discovery of software architectures. 2038-2045 - Mariapia Marchi, Luca Rizzian, Stefano Costanzo:
Multiobjective sizing optimization of a steel girder bridge with a simple Target-driven approach. 2046-2053 - Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera:
A first attempt on global evolutionary undersampling for imbalanced big data. 2054-2061 - João Gabriel Rocha Silva, Heder Soares Bernardino, Helio José Corrêa Barbosa, Iago Augusto de Carvalho, Vinícius da Fonseca Vieira, Michelli Marlane Silva Loureiro, Carolina Ribeiro Xavier:
Solving a Multiobjective Caloric-Restricted Diet Problem using Differential Evolution. 2062-2069 - Narjess Dali, Sadok Bouamama:
Different parallelism levels using GPU for solving Max-CSPs with PSO. 2070-2077 - Kamolwan Kunanusont, Simon M. Lucas, Diego Perez Liebana:
General Video Game AI: Learning from screen capture. 2078-2085 - Lokman Altin, Haluk Rahmi Topcuoglu, Murat Ermis:
Hybridizing change detection schemes for dynamic optimization problems. 2086-2093 - Petr Musílek, Pavel Krömer, Rodrigo Martins, Holger C. Hesse:
Optimal energy management of residential PV/HESS using evolutionary fuzzy control. 2094-2101 - Wajdi Dhifli, Noemie Oliveira Da Costa, Mohamed Elati:
An evolutionary schema for mining skyline clusters of attributed graph data. 2102-2109 - Andreas Richter, Stefan Menzel, Mario Botsch:
Preference-guided adaptation of deformation representations for evolutionary design optimization. 2110-2119 - Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Enhanced firefly algorithm for constrained numerical optimization. 2120-2127 - Marja Ruotsalainen, Juha Jylhä:
Learning of a tracker model from multi-radar data for performance prediction of air surveillance system. 2128-2136 - Stjepan Picek, Karlo Knezevic, Domagoj Jakobovic:
On the evolution of bent (n, m) functions. 2137-2144 - Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Bandit-based Random Mutation Hill-Climbing. 2145-2151 - Carlos Segura, Eduardo Segredo, Gara Miranda:
The importance of the individual encoding in memetic algorithms with diversity control applied to large Sudoku puzzles. 2152-2160 - Piotr Lipinski:
Solving the Firefighter Problem with two elements using a multi-modal Estimation of Distribution Algorithm. 2161-2168 - Denis Antipov, Arina Buzdalova:
Runtime Analysis of Random Local Search on JUMP function with Reinforcement Based Selection of Auxiliary Objectives. 2169-2176 - Abhinav Gaur, Kalyanmoy Deb:
Effect of size and order of variables in rules for multi-objective repair-based innovization procedure. 2177-2184 - Alejandro Baldominos, Pedro Isasi Viñuela, Yago Sáez:
Feature selection for physical activity recognition using genetic algorithms. 2185-2192 - José Manuel Velasco, Oscar Garnica, Sergio Contador, Juan Lanchares, Esther Maqueda, Marta Botella, José Ignacio Hidalgo:
Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data. 2193-2200 - Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
The N-Tuple bandit evolutionary algorithm for automatic game improvement. 2201-2208 - Jose Antonio Pascual, Joshua Lant, Andrew Attwood, Caroline Concatto, Javier Navaridas, Mikel Luján, John Goodacre:
Designing an exascale interconnect using multi-objective optimization. 2209-2216 - Hui Li, Kalyanmoy Deb:
Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems. 2217-2224 - Satish Kumar Jaiswal, Hitoshi Iba:
Coevolution of mapping functions for linear SVM. 2225-2232 - Luiz Carlos Felix Carvalho, Márcia Aparecida Fernandes:
A Simple Estimation of Distribution Algorithm for the Flexible Job-Shop Problem. 2233-2239 - Pratyusha Rakshit, Archana Chowdhury, Amit Konar, Atulya K. Nagar:
Differential evolution induced many objective optimization. 2240-2247 - Xiaoyi Feng, Mengchen Ji, Zhengyang Li, Xinghua Qu, Bo Liu:
Team effectiveness based optimization. 2248-2257 - Debesh Adhikari, Eunjin Kim, Hassan Reza:
A fuzzy adaptive differential evolution for multi-objective 3D UAV path optimization. 2258-2265 - Rung-Tzuo Liaw, Chuan-Kang Ting:
Evolutionary many-tasking based on biocoenosis through symbiosis: A framework and benchmark problems. 2266-2273 - Yuefeng Lin, Wenli Du, Thomas Stützle:
Three L-SHADE based algorithms on mixed-variables optimization problems. 2274-2281 - Henrique Barros Lopes, Flávio Vinícius Cruzeiro Martins, Rodrigo T. N. Cardoso, Vinícius Fernandes dos Santos:
Combining rules and proportions: A multiobjective approach to algorithmic composition. 2282-2289 - Sedigheh Mahdavi, Shahryar Rahnamayan, Chirag Karia:
Analyzing effects of ordering vectors in mutation schemes on performance of Differential Evolution. 2290-2298 - Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas:
Evolving Game Skill-Depth using General Video Game AI agents. 2299-2307 - Brenner Humberto Ojeda Rios, Elizabeth Ferreira Gouvea Goldbarg, Greis Yvet Oropeza Quesquén:
A hybrid metaheuristic using a corrected formulation for the Traveling Car Renter Salesman Problem. 2308-2314 - Rhelcris S. Sousa, Telma Woerle de Lima, Lauro C. M. de Paula, Roney Lopes Lima, Arlindo R. G. Filho, Anderson da Silva Soares:
Integer-based genetic algorithm for feature selection in multivariate calibration. 2315-2320 - Paulo H. C. Oliveira, Gladston Moreira, Daniela Mayumi Ushizima, Cláudia M. Carneiro, Fátima N. S. de Medeiros, Flávio Henrique Duarte de Araújo, Romuere R. V. e Silva, Andrea G. C. Bianchi:
A multi-objective approach for calibration and detection of cervical cells nuclei. 2321-2327 - Shivam Kalra, Shahryar Rahnamayan, Kalyanmoy Deb:
Enhancing clearing-based niching method using Delaunay Triangulation. 2328-2337 - Alejandro Baldominos, Clara Ramon-Lozano:
Optimizing EEG energy-based seizure detection using genetic algorithms. 2338-2345 - Javiera Loyola Vitali, María Cristina Riff, Elizabeth Montero:
Bus Routing for emergency evacuations: The case of the Great Fire of Valparaiso. 2346-2353 - Pavlos Androulakakis, Zachariah E. Fuchs:
Evolutionary design of engagement strategies for turn-constrained agents. 2354-2363 - Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert, Liam Bowie:
A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem. 2364-2371 - Amin Ibrahim, Miguel Vargas Martin, Shahryar Rahnamayan, Kalyanmoy Deb:
Fusion-based hybrid many-objective optimization algorithm. 2372-2381 - Alondra Rojas, Elizabeth Montero, María Cristina Riff:
G-DMP: An algorithm without constraint relaxation to solve the train departure matching problem. 2382-2389 - Debasis Maharana, Remya Kommadath, Prakash Kotecha:
Dynamic Yin-Yang Pair Optimization and its performance on single objective real parameter problems of CEC 2017. 2390-2396 - Remya Kommadath, Prakash Kotecha:
Teaching Learning Based Optimization with focused learning and its performance on CEC2017 functions. 2397-2403 - Yu-Wei Wen, Chuan-Kang Ting:
Parting ways and reallocating resources in evolutionary multitasking. 2404-2411 - Ankur Sinha, Tharo Soun, Kalyanmoy Deb:
Evolutionary bilevel optimization using KKT proximity measure. 2412-2419 - Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Genetic programming for skin cancer detection in dermoscopic images. 2420-2427 - Bikash Poudel, Sushil J. Louis, Arslan Munir:
Evolving side-channel resistant reconfigurable hardware for elliptic curve cryptography. 2428-2436 - Angela Hsiang-Ling Chen, Yun-Chia Liang, Jose David Padilla:
Using discrete Differential Evolution and entropy to solve the MRCPSP. 2437-2442 - Ales Zamuda:
Adaptive constraint handling and Success History Differential Evolution for CEC 2017 Constrained Real-Parameter Optimization. 2443-2450 - Nancy Pérez-Castro, Aldo Márquez-Grajales, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes:
Full Model Selection issue in temporal data through evolutionary algorithms: A brief review. 2451-2457 - Aditya Vishwanathan, Prasad Cheema, Gareth A. Vio:
Multi-particle swarm optimization used to study material degradation in aeroelastic composites including probabalistic uncertainties. 2458-2464 - Siming Liu, Sushil J. Louis, Tianyi Jiang, Rui Wu:
Increasing physics realism when evolving micro behaviors for 3D RTS games. 2465-2472 - Sebastian Starke, Norman Hendrich, Jianwei Zhang:
A memetic evolutionary algorithm for real-time articulated kinematic motion. 2473-2479 - Raluca Necula, Mihaela Breaban, Madalina Raschip:
Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system. 2480-2487 - Jing-Cheng Shi, Chao Qian, Yang Yu:
Evolutionary multi-objective optimization made faster by sequential decomposition. 2488-2493 - Mustafa Misir:
Data sampling through collaborative filtering for algorithm selection. 2494-2501 - Ahmet Aksoy, Sushil J. Louis, Mehmet Hadi Gunes:
Operating system fingerprinting via automated network traffic analysis. 2502-2509 - Manuel Chica, Raymond Chiong, Marc T. P. Adam, Sergio Damas, Timm Teubner:
An evolutionary trust game for the sharing economy. 2510-2517 - Andrew W. Burnett, Andrew J. Parkes:
Exploring the landscape of the space of heuristics for local search in SAT. 2518-2525 - Seyed Pourya Hoseini Alinodehi, Sushil J. Louis, Sajjad Moshfe, Mircea Nicolescu:
A modified steady state genetic algorithm suitable for fast pipelined hardware. 2526-2533 - Ulysse Côté Allard, Gabriel Dube, Richard Khoury, Luc Lamontagne, Benoit Gosselin, François Laviolette:
Time Adaptive Dual Particle Swarm Optimization. 2534-2543 - André Gustavo dos Santos, Paulo G. L. Candido, Allan F. Balardino, Wesam Herbawi:
Vehicle relocation problem in free floating carsharing using multiple shuttles. 2544-2551 - Bertrand Sodjahin, Vivekanandan Suresh Kumar, Shawn Lewenza, Shauna Reckseidler-Zenteno:
Probabilistic graphs to model Pseudomonas aeruginosa survival mechanism and infer low nutrient water response genes. 2552-2558 - Juan Banda, Jonás Velasco, Arturo Berrones:
A hybrid heuristic algorithm based on Mean-Field Theory with a Simple Local Search for the Quadratic Knapsack Problem. 2559-2565 - Muhammad Marwan Muhammad Fuad, Søren Besenbacher:
Modeling non-equilibrium population using variable-chromosome-length genetic algorithm. 2566-2573 - Boxiong Tan, Hui Ma, Yi Mei:
A NSGA-II-based approach for service resource allocation in Cloud. 2574-2581 - Oscar M. Gonzalez, Carlos Segura, Sergio Ivvan Valdez Peña, Coromoto León:
A memetic algorithm for the Capacitated Vehicle Routing Problem with Time Windows. 2582-2589 - Arka Ghosh, Swagatam Das, Bijaya Ketan Panigrahi, Asit Kumar Das:
A noise resilient Differential Evolution with improved parameter and strategy control. 2590-2597 - Zubair Ashraf, Deepika Malhotra, Pranab K. Muhuri, Q. M. Danish Lohani:
Hybrid biogeography-based optimization for solving vendor managed inventory system. 2598-2605 - Roberto Santana, Gia Sirbiladze, Bezhan Ghvaberidze, Bidzina Matsaberidze:
A comparison of probabilistic-based optimization approaches for vehicle routing problems. 2606-2613 - Iván Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín, Carlos A. Coello Coello:
Improving hyper-heuristic performance through feature transformation. 2614-2621 - Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello:
Evolutionary multilabel hyper-heuristic design. 2622-2629 - Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution. 2630-2637 - Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Ivan M. Amaya-Contreras, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Applying automatic heuristic-filtering to improve hyper-heuristic performance. 2638-2644 - Chien-Hung Liu, Chuan-Kang Ting:
Fusing Flamenco and Argentine Tango by evolutionary composition. 2645-2652 - Dmitry Grebennikov, Gennady Bocharov:
Modelling the structural organization of lymph nodes. 2653-2655 - Igor Ibarguren, Jesús M. Pérez, Javier Muguerza, Daniel Rodríguez, Rachel Harrison:
The Consolidated Tree Construction algorithm in imbalanced defect prediction datasets. 2656-2660 - Rahul Nath, Zubair Ashraf, Pranab K. Muhuri, Q. M. Danish Lohani:
BLEAQ based solution for bilevel reliability-allocation problem. 2661-2668 - Enrico De Santis, Antonello Rizzi, Alireza Sadeghian:
A learning intelligent System for classification and characterization of localized faults in Smart Grids. 2669-2676 - Amr Abdelhafez, Enrique Alba:
Speed-up of synchronous and asynchronous distributed Genetic Algorithms: A first common approach on multiprocessors. 2677-2682 - Edgar Manoatl López, Carlos A. Coello Coello:
Improving the integration of the IGD+ indicator into the selection mechanism of a Multi-objective Evolutionary Algorithm. 2683-2690 - Saku Kukkonen, Efrén Mezura-Montes:
An experimental comparison of two constraint handling approaches used with differential evolution. 2691-2697 - Chen Jin, A. Kai Qin:
A GPU-based implementation of brain storm optimization. 2698-2705 - Nelishia Pillay, Derrick Beckedahl:
EvoHyp - a Java toolkit for evolutionary algorithm hyper-heuristics. 2706-2713 - Robert G. Reynolds, Leonard Kinnaird-Heether:
Problem solving using social networks in Cultural Algorithms with auctions. 2714-2721 - Ryoma Sano, Hernán E. Aguirre, Kiyoshi Tanaka:
A closer look to elitism in ε-dominance many-objective optimization. 2722-2729 - Ali Ahrari, Kalyanmoy Deb, Sankhya Mohanty, Jesper Henri Hattel:
Multi-objective optimization of cellular scanning strategy in selective laser melting. 2730-2737 - Nasser R. Sabar, Ayad Turky, Andy Song, Abdul Sattar:
Optimising Deep Belief Networks by hyper-heuristic approach. 2738-2745 - Wei Fang, Lingzhi Zhang, Jianhong Zhou, Xiaojun Wu, Jun Sun:
A novel quantum-behaved particle swarm optimization with random selection for large scale optimization. 2746-2751 - Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Development of a Higher Order Cognitive Optimization algorithm. 2752-2758 - Piotr Lipinski:
Optimization of representation for extracting knowledge from ultra-high frequency time series. 2759-2766 - Beatriz A. Garro, Katya Rodríguez, Roberto Antonio Vázquez:
Designing artificial neural networks using differential evolution for classifying DNA microarrays. 2767-2774 - Cristian Ramírez-Atencia, Víctor Rodríguez-Fernández, Antonio González-Pardo, David Camacho:
New Artificial Intelligence approaches for future UAV Ground Control Stations. 2775-2782
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