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Semantic ScholarGECCO 2011: Dublin, Ireland
Natalio Krasnogor, Pier Luca Lanzi:
13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Proceedings, Dublin, Ireland, July 12-16, 2011. ACM 2011, ISBN 978-1-4503-0557-0
Invited talks
- Rebecca Schulman:
Beyond biology: designing a new mechanism for self-replication and evolution at the nanoscale. 7-14 - Steen Rasmussen, Anders Albertsen, Harold Fellermann, Pernille Lykke Pedersen, Carsten Svaneborg, Hans Ziock:
Assembling living materials and engineering life-like technologies. 15-20
Ant colony optimization and swarm intelligence track papers
- Juan Rada-Vilela, Mengjie Zhang, Winston Seah:
A performance study on synchronous and asynchronous updates in particle swarm optimization. 21-28 - Hongliang Liu, Enda Howley, Jim Duggan:
Particle swarm optimisation with gradually increasing directed neighbourhoods. 29-36 - Mohammad Majid al-Rifaie, John Mark Bishop, Tim Blackwell:
An investigation into the merger of stochastic diffusion search and particle swarm optimisation. 37-44 - Mahdi Setayesh, Mengjie Zhang, Mark Johnston:
Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation. 45-52 - Stephen Chen, James Montgomery:
Selection strategies for initial positions and initial velocities in multi-optima particle swarms. 53-60 - Shannon S. Pace, Clinton J. Woodward:
Diversity preservation using excited particle swarm optimisation. 61-68 - Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A multi-objective particle swarm optimizer based on decomposition. 69-76 - Wenlong Fu, Mark Johnston, Mengjie Zhang:
Hybrid particle swarm optimisation based on history information sharing. 77-84 - Konrad Diwold, Daniel Himmelbach, René Meier, Carsten Baldauf, Martin Middendorf:
Bonding as a swarm: applying bee nest-site selection behaviour to protein docking. 93-100 - Yannis Marinakis, Magdalene Marinaki:
A honey bees mating optimization algorithm for the open vehicle routing problem. 101-108 - Christian Domínguez-Medina, Nareli Cruz Cortés:
Energy-efficient and location-aware ant colony based routing algorithms for wireless sensor networks. 117-124 - Tianjun Liao, Marco Antonio Montes de Oca, Dogan Aydin, Thomas Stützle, Marco Dorigo:
An incremental ant colony algorithm with local search for continuous optimization. 125-132 - Ying Lin, Jing-Hui Zhong, Jun Zhang:
Parallel exploitation in estimated basins of attraction: a new derivative-free optimization algorithm. 133-138 - Marta S. R. Monteiro, Dalila B. M. M. Fontes, Fernando A. C. C. Fontes:
An ant colony optimization algorithm to solve the minimum cost network flow problem with concave cost functions. 139-146 - José García-Nieto, Enrique Alba:
Empirical computation of the quasi-optimal number of informants in particle swarm optimization. 147-154 - Wei-neng Chen, Jun Zhang:
Ant colony optimization for determining the optimal dimension and delays in phase space reconstruction. 155-162 - Dhananjay Raghavan Thiruvady, Bernd Meyer, Andreas T. Ernst:
Car sequencing with constraint-based ACO. 163-170
Artificial life/robotics/evolvable hardware track papers
- Giorgos Karafotias, Evert Haasdijk, Ágoston E. Eiben:
An algorithm for distributed on-line, on-board evolutionary robotics. 171-178 - Josh C. Bongard:
Morphological and environmental scaffolding synergize when evolving robot controllers: artificial life/robotics/evolvable hardware. 179-186 - Evert Haasdijk, Arif Atta-ul-Qayyum, Ágoston E. Eiben:
Racing to improve on-line, on-board evolutionary robotics. 187-194 - Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Coupled inverted pendulums: a benchmark for evolving decentral controllers in modular robotics. 195-202 - Jacob Charles Walker:
The evolution of optimal foraging strategies in populations of digital organisms. 203-210 - Joel Lehman, Kenneth O. Stanley:
Evolving a diversity of virtual creatures through novelty search and local competition. 211-218 - Luis Zaman, Suhas Devangam, Charles Ofria:
Rapid host-parasite coevolution drives the production and maintenance of diversity in digital organisms. 219-226 - Brian D. Connelly, Luis Zaman, Philip K. McKinley, Charles Ofria:
Modeling the evolutionary dynamics of plasmids in spatial populations. 227-234 - Ben Jones, Andrea Soltoggio, Bernhard Sendhoff, Xin Yao:
Evolution of neural symmetry and its coupled alignment to body plan morphology. 235-242 - Chad M. Byers, Betty H. C. Cheng, Philip K. McKinley:
Digital enzymes: agents of reaction inside robotic controllers for the foraging problem. 243-250 - Josh C. Bongard:
Spontaneous evolution of structural modularity in robot neural network controllers: artificial life/robotics/evolvable hardware. 251-258 - Tony Pinville, Sylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux:
How to promote generalisation in evolutionary robotics: the ProGAb approach. 259-266 - Christian Roth, Matt Knudson, Kagan Tumer:
Agent fitness functions for evolving coordinated sensor networks. 275-282
Bioinformatics, computational, systems, and synthetic biology track papers
- Fergal Reid, Neil J. Hurley:
Analysing structure in complex networks using quality functions evolved by genetic programming. 283-290 - Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan:
Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction. 291-298 - Nicholas E. Hardison, Alison A. Motsinger-Reif:
The power of quantitative grammatical evolution neural networks to detect gene-gene interactions. 299-306 - Michael Douglas Schmidt, Hod Lipson:
Automated modeling of stochastic reactions with large measurement time-gaps. 307-314 - Jirí Kubalík:
Evolutionary-based iterative local search algorithm for the shortest common supersequence problem. 315-322 - Nazar Zaki, Fadi N. Sibai, Piers Campbell:
Conotoxin protein classification using pairwise comparison and amino acid composition: toxin-aam. 323-330 - Roberto Santana, Concha Bielza, Pedro Larrañaga:
Affinity propagation enhanced by estimation of distribution algorithms. 331-338 - Michaël Marcozzi, Federico Divina, Jesús S. Aguilar-Ruiz, Wim Vanhoof:
A novel probabilistic encoding for EAs applied to biclustering of microarray data. 339-346 - Nazar Zaki, Salah Bouktif, Sanja Lazarova-Molnar:
A genetic algorithm to enhance transmembrane helices prediction. 347-354
Digital entertainment technologies and arts track papers
- Krzysztof Krawiec, Marcin Grzegorz Szubert:
Learning n-tuple networks for othello by coevolutionary gradient search. 355-362 - William L. Raffe, Fabio Zambetta, Xiaodong Li:
Evolving patch-based terrains for use in video games. 363-370 - Igor Karpov, Vinod K. Valsalam, Risto Miikkulainen:
Human-assisted neuroevolution through shaping, advice and examples. 371-378 - Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley:
Interactively evolving harmonies through functional scaffolding. 387-394 - Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Interactive evolution for the procedural generation of tracks in a high-end racing game. 395-402 - James McDermott, Una-May O'Reilly:
An executable graph representation for evolutionary generative music. 403-410 - Igor Vatolkin, Mike Preuß, Günter Rudolph:
Multi-objective feature selection in music genre and style recognition tasks. 411-418 - Alan R. R. de Freitas, Frederico Gadelha Guimarães:
Originality and diversity in the artificial evolution of melodies. 419-426
Evolutionary combinatorial optimization and metaheuristics track papers
- Claudio Fabiano Motta Toledo, Márcio da Silva Arantes, Paulo Morelato França:
Tabu search to solve the synchronized and integrated two-level lot sizing and scheduling problem. 443-448 - Luís H. C. Bicalho, André Gustavo dos Santos, José Elias Claudio Arroyo:
Metaheuristic for parallel machines scheduling with resource-assignable sequence dependent setup times. 449-456 - Malek Mouhoub, Bahareh Jafari Jashmi:
Heuristic techniques for variable and value ordering in CSPs. 457-464 - David Chalupa:
Population-based and learning-based metaheuristic algorithms for the graph coloring problem. 465-472 - Jin Kim, Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon:
Genetic approaches for graph partitioning: a survey. 473-480 - Petrica C. Pop, Serban Iordache:
A hybrid heuristic approach for solving the generalized traveling salesman problem. 481-488 - Rubén Ruiz-Torrubiano, Alberto Suárez:
The TransRAR crossover operator for genetic algorithms with set encoding. 489-496 - Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay:
A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems. 497-504 - Malika Mehdi, Jean-Claude Charr, Nouredine Melab, El-Ghazali Talbi, Pascal Bouvry:
A cooperative tree-based hybrid GA-B&B approach for solving challenging permutation-based problems. 513-520 - Reza Abbasian, Malek Mouhoub:
An efficient hierarchical parallel genetic algorithm for graph coloring problem. 521-528 - Nasser Tairan, Qingfu Zhang:
P-GLS-II: an enhanced version of the population-based guided local search. 537-544 - A. K. Qin, Florence Forbes:
Harmony search with differential mutation based pitch adjustment. 545-552
Estimation of distribution algorithms track papers
- Jui-Ting Lee, Kai-Chun Fan, Tian-Li Yu:
The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs. 569-576 - Petr Posík, Stanislav Vanícek:
Parameter-less local optimizer with linkage identification for deterministic order-k decomposable problems. 577-584 - Rogelio Salinas-Gutiérrez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
Dependence trees with copula selection for continuous estimation of distribution algorithms. 585-592 - Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
Regularized k-order markov models in EDAs. 593-600 - Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
Use of infeasible individuals in probabilistic model building genetic network programming. 601-608 - Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
A preliminary study on EDAs for permutation problems based on marginal-based models. 609-616
Evolutionary multiobjective optimization track papers
- Tamara Ulrich, Lothar Thiele:
Maximizing population diversity in single-objective optimization. 641-648 - Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima:
A many-objective test problem for visually examining diversity maintenance behavior in a decision space. 649-656 - Kiyoharu Tagawa, Hidehito Shimizu, Hiroyuki Nakamura:
Indicator-based differential evolution using exclusive hypervolume approximation and parallelization for multi-core processors. 657-664 - Jing-Hui Zhong, Jun Zhang:
Adaptive multi-objective differential evolution with stochastic coding strategy. 665-672 - James Montgomery, Marcus Randall, Andrew Lewis:
Differential evolution for RFID antenna design: a comparison with ant colony optimisation. 673-680 - Kazi Shah Nawaz Ripon, Kashif Nizam Khan, Kyrre Glette, Mats Høvin, Jim Tørresen:
Using pareto-optimality for solving multi-objective unequal area facility layout problem. 681-688 - Edmondo A. Minisci, Massimiliano Vasile:
Robust design of a re-entry unmanned space vehicle by multi-fidelity evolution control. 689-696 - Irina Harris, Christine L. Mumford, Mohamed M. Naim:
An evolutionary bi-objective approach to the capacitated facility location problem with cost and CO2 emissions. 697-704 - Christiane Regina Soares Brasil, Alexandre Cláudio Botazzo Delbem, Daniel Rodrigo Ferraz Bonetti:
Investigating relevant aspects of MOEAs for protein structures prediction. 705-712 - Harold Soh, Yiannis Demiris:
Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs). 713-720 - Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang:
Interactive MOEA/D for multi-objective decision making. 721-728 - Jing Sun, Dunwei Gong, Xiaoyan Sun:
Solving interval multi-objective optimization problems using evolutionary algorithms with preference polyhedron. 729-736 - Tea Tusar, Bogdan Filipic:
Visualizing 4D approximation sets of multiobjective optimizers with prosections. 737-744 - Karl Bringmann, Tobias Friedrich:
Convergence of hypervolume-based archiving algorithms I: effectiveness. 745-752 - Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka:
Improved S-CDAs using crossover controlling the number of crossed genes for many-objective optimization. 753-760 - Sébastien Vérel, Arnaud Liefooghe, Clarisse Dhaenens:
Set-based multiobjective fitness landscapes: a preliminary study. 769-776 - Juan Arturo Herrera Ortiz, Katya Rodríguez-Vázquez, Itza T. Q. Curiel Cabral, Sonia Di Giannatale Menegalli:
A RankMOEA to approximate the pareto front of a dynamic principal-agent model. 785-792 - Taejin Park, Kwang Ryel Ryu:
Accumulative sampling for noisy evolutionary multi-objective optimization. 793-800 - Matthias W. Blesken, Anouar Chebil, Ulrich Rückert, Xavier Esquivel, Oliver Schütze:
Integrated circuit optimization by means of evolutionary multi-objective optimization. 807-812
Evolution strategies and evolutionary programming track papers
- Steffen Finck, Hans-Georg Beyer, Alexander Melkozerov:
Noisy optimization: a theoretical strategy comparison of ES, EGS, SPSA & IF on the noisy sphere. 813-820 - Simon Wessing, Mike Preuss, Günter Rudolph:
When parameter tuning actually is parameter control. 821-828 - Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph:
Exploratory landscape analysis. 829-836 - Mike Preuss, Catalin Stoean, Ruxandra Stoean:
Niching foundations: basin identification on fixed-property generated landscapes. 837-844 - Tom Schaul, Tobias Glasmachers, Jürgen Schmidhuber:
High dimensions and heavy tails for natural evolution strategies. 845-852 - Dirk V. Arnold:
Analysis of a repair mechanism for the (1, λ)-ES applied to a simple constrained problem. 853-860 - Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored sampling in evolution strategies with weighted recombination. 861-868 - Zyed Bouzarkouna, Anne Auger, Didier Yu Ding:
Local-meta-model CMA-ES for partially separable functions. 869-876 - Johannes W. Kruisselbrink, Edgar Reehuis, André H. Deutz, Thomas Bäck, Michael Emmerich:
Using the uncertainty handling CMA-ES for finding robust optima. 877-884
Genetic algorithms track papers
- Johannes W. Kruisselbrink, Rui Li, Edgar Reehuis, Jeroen Eggermont, Thomas Bäck:
On the log-normal self-adaptation of the mutation rate in binary search spaces. 893-900 - Farhad Nadi, Ahamad Tajudin Abdul Khader:
A parameter-less genetic algorithm with customized crossover and mutation operators. 901-908 - Maury M. Gouvea Jr., Aluizio F. R. Araújo:
Adaptive evolutionary algorithm based on population dynamics for dynamic environments. 909-916 - Bernadete Maria de Mendonça Neta, Gustavo Henrique Diniz Araújo, Frederico Gadelha Guimarães, Renato Cardoso Mesquita:
A multiobjective genetic algorithm for automatic orthogonal graph drawing. 925-932 - Lino A. Costa, Isabel A. Espírito-Santo, Pedro Oliveira:
Stochastic algorithms assessment using performance profiles. 933-940 - Josafath Israel Espinosa Ramos, Roberto Antonio Vázquez Espinoza de los Monteros:
Locating seismic-sense stations through genetic algorithm: genetic algorithms. 941-948 - Francisco Vasconcelos, Carlos Henggeler Antunes, João Pedro Barreto:
Adaptive and hybrid genetic approaches for estimating the camera motion from image point correspondences. 949-956 - Brian G. Woolley, Kenneth O. Stanley:
On the deleterious effects of a priori objectives on evolution and representation. 957-964 - Andrew M. Sutton, Darrell Whitley, Adele E. Howe:
Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis. 973-980 - Benjamin Doerr, Johannes Lengler, Timo Kötzing, Carola Winzen:
Black-box complexities of combinatorial problems. 981-988 - Timo Kötzing, Dirk Sudholt, Madeleine Theile:
How crossover helps in pseudo-boolean optimization. 989-996 - Tomasz Oliwa, Khaled Rasheed:
A surrogate-assisted linkage inference approach in genetic algorithms. 997-1004 - Martin Pelikan, Mark Hauschild, Dirk Thierens:
Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. 1005-1012 - Martin Pelikan:
Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions. 1013-1020 - Menglin Li, Colm O'Riordan, Seamus Hill:
An analysis of multi-chromosome GAs in deceptive problems. 1021-1028 - Anabela Simões, Ernesto Costa:
Memory-based CHC algorithms for the dynamic traveling salesman problem. 1037-1044 - Steve Dower, Clinton Woodward:
ESDL: a simple description language for population-based evolutionary computation. 1045-1052 - Antonio Della Cioppa, Angelo Marcelli, Prisco Napoli:
Speciation in evolutionary algorithms: adaptive species discovery. 1053-1060 - Dongxia Chang, Yao Zhao, Yanhui Xiao:
A robust dynamic niching genetic clustering approach for image segmentation. 1077-1084 - Yuan-Long Li, Jun Zhang:
A new differential evolution algorithm with dynamic population partition and local restart. 1085-1092 - Wei-jie Yu, Jun Zhang:
Multi-population differential evolution with adaptive parameter control for global optimization. 1093-1098 - Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
Differential evolution with self adaptive local search. 1099-1106 - Spyridon Samothrakis, Simon M. Lucas:
Approximating n-player behavioural strategy nash equilibria using coevolution. 1107-1114 - Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms. 1115-1122 - Arthur Carvalho:
A cooperative coevolutionary genetic algorithm for learning bayesian network structures. 1131-1138 - Rupesh Kumar Srivastava, Kalyanmoy Deb:
An EA-based approach to design optimization using evidence theory. 1139-1146 - Gina M. B. Oliveira, Luiz G. A. Martins, Enrique Fynn:
Adaptive strategies applied to evolutionary search for 2D DCT cellular automata rules. 1147-1154 - Kusum Deep, Madhuri Arya, Jagdish Chand Bansal:
A non-deterministic adaptive inertia weight in PSO. 1155-1162 - Antonio Martí Campoy, Francisco Rodríguez-Ballester, Eugenio Tamura Morimitsu, Rafael Ors:
An algorithm for deciding minimal cache sizes in real-time systems. 1163-1170 - Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba:
Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm. 1171-1178
Genetics based machine learning track papers
- Kamran Shafi, Axel Bender, Hussein A. Abbass:
Fleet estimation for defence logistics using a multi-objective learning classifier system. 1195-1202 - Hadi Sharifi, Amin Nikanjam, Adel Torkaman Rahmani:
Interaction detection for hybrid decomposable problems. 1203-1210 - Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi:
Towards final rule set reduction in XCS: a fuzzy representation approach. 1211-1218 - Arcadio Rubio, José Antonio Gámez:
Flexible learning of k-dependence Bayesian network classifiers. 1219-1226 - Mihaela Elena Breaban, Henri Luchian:
PSO aided k-means clustering: introducing connectivity in k-means. 1227-1234 - Didier Marin, Jérémie Decock, Lionel Rigoux, Olivier Sigaud:
Learning cost-efficient control policies with XCSF: generalization capabilities and further improvement. 1235-1242 - Tim Kovacs, Narayanan Unny Edakunni, Gavin Brown:
Accuracy exponentiation in UCS and its effect on voting margins. 1251-1258 - Filipe de Lima Arcanjo, Gisele L. Pappa, Paulo Viana Bicalho, Wagner Meira Jr., Altigran Soares da Silva:
Semi-supervised genetic programming for classification. 1259-1266 - Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs:
Online, GA based mixture of experts: a probabilistic model of ucs. 1267-1274 - Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andrew Adamatzky:
Evolving spiking networks with variable memristors. 1275-1282 - Charalambos Ioannides, Geoff Barrett, Kerstin Eder:
XCS cannot learn all boolean functions. 1283-1290 - María A. Franco, Natalio Krasnogor, Jaume Bacardit:
Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding. 1291-1298
Genetic programming track papers
- Su Nguyen, Mengjie Zhang, Mark Johnston:
A genetic programming based hyper-heuristic approach for combinatorial optimisation. 1299-1306 - Alberto Moraglio, Sara Silva:
Geometric nelder-mead algorithm on the space of genetic programs. 1307-1314 - R. Muhammad Atif Azad, Conor Ryan:
Variance based selection to improve test set performance in genetic programming. 1315-1322 - Urvesh Bhowan, Mark Johnston, Mengjie Zhang:
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. 1331-1338 - Theodoros Theodoridis, Alexandros Agapitos, Huosheng Hu:
A gaussian groundplan projection area model for evolving probabilistic classifiers. 1339-1346 - Jeannie Fitzgerald, Conor Ryan:
Drawing boundaries: using individual evolved class boundaries for binary classification problems. 1347-1354 - Leonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand:
Predicting problem difficulty for genetic programming applied to data classification. 1355-1362 - Quang Uy Nguyen, Xuan Hoai Nguyen, Michael O'Neill:
Examining the landscape of semantic similarity based mutation. 1363-1370 - Krzysztof Krawiec:
Semantically embedded genetic programming: automated design of abstract program representations. 1379-1386 - Eoin Murphy, Michael O'Neill, Anthony Brabazon:
A comparison of GE and TAGE in dynamic environments. 1387-1394 - Shelly Xiaonan Wu, Wolfgang Banzhaf:
Rethinking multilevel selection in genetic programming. 1403-1410 - John Mark Swafford, Erik Hemberg, Michael O'Neill, Miguel Nicolau, Anthony Brabazon:
A non-destructive grammar modification approach to modularity in grammatical evolution. 1411-1418 - Lee Spector, Brian Martin, Kyle Ira Harrington, Thomas Helmuth:
Tag-based modules in genetic programming. 1419-1426 - Peter A. Whigham, Rasika Withanawasam:
Evolving a robust trader in a cyclic double auction market. 1451-1458 - Kangil Kim, MinHyeok Kim, Bob McKay:
Structural difficulty in estimation of distribution genetic programming. 1459-1466 - Leonardo Vanneschi, Mauro Castelli, Luca Manzoni:
The K landscapes: a tunably difficult benchmark for genetic programming. 1467-1474
Generative and developmental systems track papers
- Joshua Evan Auerbach, Josh C. Bongard:
Evolving complete robots with CPPN-NEAT: the utility of recurrent connections. 1475-1482 - Phillip Verbancsics, Kenneth O. Stanley:
Constraining connectivity to encourage modularity in HyperNEAT. 1483-1490 - Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
SMCGP2: self modifying cartesian genetic programming in two dimensions. 1491-1498 - Gunnar Tufte, Stefano Nichele:
On the correlations between developmental diversity and genomic composition. 1507-1514 - Michael E. Palmer:
Evolved neurogenesis and synaptogenesis for robotic control: the L-brain model. 1515-1522 - Marcin Suchorzewski, Jeff Clune:
A novel generative encoding for evolving modular, regular and scalable networks. 1523-1530 - Paul Tonelli, Jean-Baptiste Mouret:
On the relationships between synaptic plasticity and generative systems. 1531-1538 - Sebastian Risi, Kenneth O. Stanley:
Enhancing es-hyperneat to evolve more complex regular neural networks. 1539-1546
Parallel evolutionary systems track papers
- Shigeyoshi Tsutsui, Noriyuki Fujimoto:
ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment. 1547-1554 - Luca Mussi, Youssef S. G. Nashed, Stefano Cagnoni:
GPU-based asynchronous particle swarm optimization. 1555-1562 - Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram:
Collaborative multi-swarm PSO for task matching using graphics processing units. 1563-1570 - Caner Candan, Johann Dréo, Pierre Savéant, Vincent Vidal:
Parallel divide-and-evolve: experiments with OpenMP on a multicore machine. 1571-1578 - Matteo De Felice, Sandro Meloni, Stefano Panzieri:
Effect of topology on diversity of spatially-structured evolutionary algorithms. 1579-1586 - Frank Neumann, Pietro Simone Oliveto, Günter Rudolph, Dirk Sudholt:
On the effectiveness of crossover for migration in parallel evolutionary algorithms. 1587-1594 - Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham:
Many-threaded implementation of differential evolution for the CUDA platform. 1595-1602 - Maribel García Arenas, Juan Julián Merelo Guervós, Pedro A. Castillo, Juan Luis Jiménez Laredo, Gustavo Romero, Antonio Miguel Mora:
Using free cloud storage services for distributed evolutionary algorithms. 1603-1610 - Carlos Segura, Eduardo Segredo, Coromoto León:
Parallel island-based multiobjectivised memetic algorithms for a 2D packing problem. 1611-1618
Real world applications track papers
- Garnett Carl Wilson, Simon Harding, Orland Hoeber, Rodolphe Devillers, Wolfgang Banzhaf:
Large network analysis for fisheries management using coevolutionary genetic algorithms. 1619-1626 - Maoguo Gong, Tian Hou, Bao Fu, Licheng Jiao:
A non-dominated neighbor immune algorithm for community detection in networks. 1627-1634 - Steffen Limmer, Dietmar Fey, Ulrich Lohmann, Jürgen Jahns:
Evolutionary optimization of layouts for high density free space optical network links. 1635-1642 - Zorana Bankovic, David Fraga, Juan Carlos Vallejo, José Manuel Moya:
Improving reputation systems for wireless sensor networks using genetic algorithms. 1643-1650 - Ricardo Araujo Costa, Adriano L. I. Oliveira, Sérgio Soares, Silvio Romero de Lemos Meira:
An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting. 1651-1658 - Shingo Mabu, Kotaro Hirasawa:
Enhanced rule extraction and classification mechanism of genetic network programming for stock trading signal generation. 1659-1666 - Garnett Carl Wilson, Derek Leblanc, Wolfgang Banzhaf:
Stock trading using linear genetic programming with multiple time frames. 1667-1674 - Martin Craig Serpell, James E. Smith, Alistair R. Clark, Andrea T. Staggemeier:
Scaling up a hybrid genetic linear programming algorithm for statistical disclosure control. 1675-1682 - Jésica de Armas, Gara Miranda, Coromoto León:
Hyperheuristic encoding scheme for multi-objective guillotine cutting problems. 1683-1690 - Daniel W. Stouch, Ernest W. Zeidman, Marc D. Richards, Kirk D. McGraw, William J. Callahan:
Coevolving collection plans for UAS constellations. 1691-1698 - Jason Ansel, Maciej Pacula, Saman P. Amarasinghe, Una-May O'Reilly:
An efficient evolutionary algorithm for solving incrementally structured problems. 1699-1706 - Zizhen Zhang, Hu Qin, Andrew Lim:
A genetic algorithm for the freight consolidation problem with one-dimensional container loading. 1707-1714 - Andrea Tettamanzi, Christel Dartigues-Pallez, Célia da Costa Pereira, Denis Pallez, Philippe Gourbesville:
Coastal current prediction using CMA evolution strategies. 1715-1722 - Martin Lukasiewycz, Michael Glaß, Felix Reimann, Jürgen Teich:
Opt4J: a modular framework for meta-heuristic optimization. 1723-1730 - David Cuesta Gómez, José Luis Risco-Martín, José Luis Ayala, José Ignacio Hidalgo:
A combination of evolutionary algorithm and mathematical programming for the 3d thermal-aware floorplanning problem. 1731-1738 - Mitchell K. Colby, Ehsan M. Nasroullahi, Kagan Tumer:
Optimizing ballast design of wave energy converters using evolutionary algorithms. 1739-1746 - Roberto Santana, Santiago Muelas, Antonio LaTorre, José María Peña Sánchez:
A direct optimization approach to the P300 speller. 1747-1754 - Sean K. R. Lineaweaver, Gregory H. Wakefield:
Psychometric augmentation of an interactive genetic algorithm for optimizing cochlear implant programs. 1755-1762 - Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule:
Quantitative modeling of customer perception from service data using evolutionary optimization. 1763-1770 - Danushka Bollegala, Nasimul Noman, Hitoshi Iba:
RankDE: learning a ranking function for information retrieval using differential evolution. 1771-1778 - Thomas Bäck, Lutz Keßler, Ingo Heinle:
Evolutionary strategies for identification and validation of material model parameters for forming simulations. 1779-1786 - M. Zubair Rafique, Nasser Alrayes, Muhammad Khurram Khan:
Application of evolutionary algorithms in detecting SMS spam at access layer. 1787-1794 - Muhammad Bilal Junaid, Muddassar Farooq:
Using evolutionary learning classifiers to do MobileSpam (SMS) filtering. 1795-1802 - Martin Simonsen, Christian N. S. Pedersen, Mikael H. Christensen, René Thomsen:
GPU-accelerated high-accuracy molecular docking using guided differential evolution: real world applications. 1803-1810 - Paul K. Harmer, Michael A. Temple, Mark A. Buckner, Ethan Farquhar:
Using differential evolution to optimize 'learning from signals' and enhance network security. 1811-1818 - J. Manuel Colmenar, José L. Risco-Martín, David Atienza, José Ignacio Hidalgo:
Multi-objective optimization of dynamic memory managers using grammatical evolution. 1819-1826 - Hans Jonas Fossum Moen, Harald Hovland:
Spanning the pareto front of a counter radar detection problem. 1835-1842 - Rituparna Datta, Kalyanmoy Deb:
Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach. 1843-1850
Search-based software engineering track papers
- Jungsup Oh, Mark Harman, Shin Yoo:
Transition coverage testing for simulink/stateflow models using messy genetic algorithms. 1851-1858 - Stefan Mairhofer, Robert Feldt, Richard Torkar:
Search-based software testing and test data generation for a dynamic programming language. 1859-1866 - Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Aurora Trinidad Ramirez Pozo, Silvia Regina Vergilio:
Establishing integration test orders of classes with several coupling measures. 1867-1874 - Thaise Yano, Eliane Martins, Fabiano Luis de Sousa:
A multi-objective evolutionary algorithm to obtain test cases with variable lengths. 1875-1882 - Daniel Rodríguez, Mercedes Ruiz Carreira, José C. Riquelme, Rachel Harrison:
Multiobjective simulation optimisation in software project management. 1883-1890 - Florin-Claudiu Pop, Denis Pallez, Marcel Cremene, Andrea Tettamanzi, Mihai Alexandru Suciu, Mircea-Florin Vaida:
QoS-based service optimization using differential evolution. 1891-1898 - Soo Ling Lim, Peter J. Bentley:
Evolving relationships between social networks and stakeholder involvement in software projects. 1899-1906 - Sam Ratcliff, David Robert White, John A. Clark:
Searching for invariants using genetic programming and mutation testing. 1907-1914 - Francisco Chicano, Francisco Luna, Antonio J. Nebro, Enrique Alba:
Using multi-objective metaheuristics to solve the software project scheduling problem. 1915-1922 - Jan Staunton, John A. Clark:
Finding short counterexamples in promela models using estimation of distribution algorithms. 1923-1930
Self-* search
- Achiya Elyasaf, Ami Hauptman, Moshe Sipper:
GA-FreeCell: evolving solvers for the game of FreeCell. 1931-1938 - Rodrigo César Pedrosa Silva, Rodolfo Ayala Lopes, Frederico Gadelha Guimarães:
Self-adaptive mutation in the differential evolution. 1939-1946 - Madalina M. Drugan, Dirk Thierens:
Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. 1963-1970 - Richard Allmendinger, Joshua D. Knowles:
Policy learning in resource-constrained optimization. 1971-1978 - Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
The road to VEGAS: guiding the search over neutral networks. 1979-1986 - Edmund K. Burke, Michel Gendreau, Gabriela Ochoa, James D. Walker:
Adaptive iterated local search for cross-domain optimisation. 1987-1994 - Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks:
Tuned data mining: a benchmark study on different tuners. 1995-2002 - Kent McClymont, Edward Keedwell:
Markov chain hyper-heuristic (MCHH): an online selective hyper-heuristic for multi-objective continuous problems. 2003-2010 - Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework. 2019-2026
Theory track papers
- Francisco Chicano, Enrique Alba:
Exact computation of the expectation curves of the bit-flip mutation using landscapes theory. 2027-2034 - Chao Qian, Yang Yu, Zhi-Hua Zhou:
An analysis on recombination in multi-objective evolutionary optimization. 2051-2058 - Sergiu Goschin, Michael L. Littman, David H. Ackley:
The effects of selection on noisy fitness optimization. 2059-2066 - Gautham Anil, R. Paul Wiegand:
Domain specific analysis and modeling of optimal elimination of fitness functions with optimal sampling. 2067-2074 - Benjamin Doerr, Mahmoud Fouz, Carsten Witt:
Sharp bounds by probability-generating functions and variable drift. 2083-2090
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