GECCO 2009:
Montreal, Québec, Canada
Franz Rothlauf (Ed.):
Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009.
ACM 2009, ISBN 978-1-60558-325-9 
Track 1:
ant colony optimization and swarm intelligence
- Thang Nguyen Bui, ThanhVu H. Nguyen, Joseph R. Rizzo:
Parallel shared memory strategies for ant-based optimization algorithms.
1-8
- Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-Thieme:
Swarming to rank for information retrieval.
9-16
- Jose Luis Fernandez-Marquez, Josep Lluís Arcos:
An evaporation mechanism for dynamic and noisy multimodal optimization.
17-24
- Sascha Häckel, Patrick Dippold:
The bee colony-inspired algorithm (BCiA): a two-stage approach for solving the vehicle routing problem with time windows.
25-32
- Hugo Hernández, Christian Blum:
Self-synchronized duty-cycling in sensor networks with energy harvesting capabilities: the static network case.
33-40
- Namrata Khemka, Christian Jacob:
VISPLORE: a toolkit to explore particle swarms by visual inspection.
41-48
- Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon:
Visualizing the search process of particle swarm optimization.
49-56
- Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang:
Particle swarm optimization based multi-prototype ensembles.
57-64
- Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
The singly-linked ring topology for the particle swarm optimization algorithm.
65-72
- Fernando dos Santos, Ana L. C. Bazzan:
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios.
73-80
- David C. Uthus, Patricia J. Riddle, Hans W. Guesgen:
An ant colony optimization approach to the traveling tournament problem.
81-88
Track 2:
artificial life, evolutionary robotics, adaptive behavior, and evolvable hardware
- Joshua E. Auerbach, Josh C. Bongard:
Evolution of functional specialization in a morphologically homogeneous robot.
89-96
- Benjamin E. Beckmann, Philip K. McKinley:
Evolving quorum sensing in digital organisms.
97-104
- Heather Goldsby, Sherri Goings, Jeff Clune, Charles Ofria:
Problem decomposition using indirect reciprocity in evolved populations.
105-112
- Faustino J. Gomez:
Sustaining diversity using behavioral information distance.
113-120
- Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. Meltzoff:
Combined structure and motion extraction from visual data using evolutionary active learning.
121-128
- Yohannes Kassahun, Jakob Schwendner, Jose de Gea, Mark Edgington, Frank Kirchner:
Learning complex robot control using evolutionary behavior based systems.
129-136
- David B. Knoester, Andres J. Ramirez, Philip K. McKinley, Betty H. C. Cheng:
Evolution of robust data distribution among digital organisms.
137-144
- Rogier Koppejan, Shimon Whiteson:
Neuroevolutionary reinforcement learning for generalized helicopter control.
145-152
- Sebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes, Kenneth O. Stanley:
How novelty search escapes the deceptive trap of learning to learn.
153-160
- James Smaldon, Natalio Krasnogor, Alexander Cameron, Marian Gheorghe:
Liposome logic.
161-168
- Andrea Soltoggio, Ben Jones:
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning.
169-176
- Terence Soule, Robert B. Heckendorn:
Environmental robustness in multi-agent teams.
177-184
Track 3:
bioinformatics and computational biology
- Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang:
Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering.
185-192
- Alberto Castellini, Vincenzo Manca:
Learning regulation functions of metabolic systems by artificial neural networks.
193-200
- Béatrice Duval, Jin-Kao Hao, Jose Crispin Hernandez Hernandez:
A memetic algorithm for gene selection and molecular classification of cancer.
201-208
- Tim Hohm, Eckart Zitzler:
Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila.
209-216
- Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Adriaan P. IJzerman, Andreas Bender, Thomas Bäck, Eelke van der Horst:
Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching.
217-224
- Sven Rahmann, Tobias Marschall, Frank Behler, Oliver Kramer:
Modeling evolutionary fitness for DNA motif discovery.
225-232
- Hiroshi Someya, Kensaku Sakamoto, Masayuki Yamamura:
Biologically-implemented genetic algorithm for protein engineering.
233-240
- Nikolay Vyahhi, Adrien Goëffon, Macha Nikolski, David James Sherman:
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios.
241-246
Track 4:
combinatorial optimization and metaheuristics
- Benjamin Doerr, Madeleine Theile:
Improved analysis methods for crossover-based algorithms.
247-254
- Pablo Garrido, Carlos Castro:
Stable solving of CVRPs using hyperheuristics.
255-262
- Martin Gruber, Günther R. Raidl:
Exploiting hierarchical clustering for finding bounded diameter minimum spanning trees on euclidean instances.
263-270
- Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy:
An experimental investigation of model-based parameter optimisation: SPO and beyond.
271-278
- Bryant A. Julstrom:
Evolving heuristically difficult instances of combinatorial problems.
279-286
- Jin Kim, Byung Ro Moon:
A hybrid genetic algorithm for a variant of two-dimensional packing problem.
287-292
- Stefan Kratsch, Frank Neumann:
Fixed-parameter evolutionary algorithms and the vertex cover problem.
293-300
- Jirí Kubalík:
Solving the sorting network problem using iterative optimization with evolved hypermutations.
301-308
- Rajeev Kumar, Bipul Kumar Bal, Peter Rockett:
Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMST.
309-316
- David Meignan, Jean-Charles Créput, Abderrafiaa Koukam:
A cooperative and self-adaptive metaheuristic for the facility location problem.
317-324
- Matthew J. W. Morgan, Christine L. Mumford:
A weight-coded genetic algorithm for the capacitated arc routing problem.
325-332
- Antonio Mucherino, Leo Liberti, Carlile Lavor, Nelson Maculan:
Comparisons between an exact and a metaheuristic algorithm for the molecular distance geometry problem.
333-340
- Gabriela Ochoa, Rong Qu, Edmund K. Burke:
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems.
341-348
- Matthias Prandtstetter, Günther R. Raidl:
Meta-heuristics for reconstructing cross cut shredded text documents.
349-356
- Wolfgang Steitz, Franz Rothlauf:
New insights into the OCST problem: integrating node degrees and their location in the graph.
357-364
- Andrew M. Sutton, L. Darrell Whitley, Adele E. Howe:
A polynomial time computation of the exact correlation structure of k-satisfiability landscapes.
365-372
- Huynh Thi Thanh Binh, Robert I. McKay, Nguyen Xuan Hoai, Nguyen Duc Nghia:
New heuristic and hybrid genetic algorithm for solving the bounded diameter minimum spanning tree problem.
373-380
- L. Darrell Whitley, Andrew M. Sutton:
Partial neighborhoods of elementary landscapes.
381-388
Track 5:
estimation of distribution algorithms
- Peter A. N. Bosman:
On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs.
389-396
- Si-Cheng Chen, Tian-Li Yu:
Difficulty of linkage learning in estimation of distribution algorithms.
397-404
- Hisashi Handa:
EDA-RL: estimation of distribution algorithms for reinforcement learning problems.
405-412
- Mark Hauschild, Martin Pelikan:
Intelligent bias of network structures in the hierarchical BOA.
413-420
- David Iclanzan, D. Dumitrescu, Béat Hirsbrunner:
Correlation guided model building.
421-428
- Martin Pelikan, Kumara Sastry:
Initial-population bias in the univariate estimation of distribution algorithm.
429-436
- Elizabeth Radetic, Martin Pelikan, David E. Goldberg:
Effects of a deterministic hill climber on hBOA.
437-444
- Roberto Santana, Concha Bielza, José Antonio Lozano, Pedro Larrañaga:
Mining probabilistic models learned by EDAs in the optimization of multi-objective problems.
445-452
- Fabien Teytaud, Olivier Teytaud:
Why one must use reweighting in estimation of distribution algorithms.
453-460
- Sergio Ivvan Valdez Peña, Arturo Hernández Aguirre, Salvador Botello Rionda:
Approximating the search distribution to the selection distribution in EDAs.
461-468
- David Wallin, Conor Ryan:
Evaluation of population partitioning schemes in bayesian classifier EDAs: estimation of distribution algoithms.
469-476
- Bo Yuan, Marcus Gallagher:
Convergence analysis of UMDAC with finite populations: a case study on flat landscapes.
477-482
Track 6:
evolution strategies and evolutionary programming
- Dirk V. Arnold, Hans-Georg Beyer, Alexander Melkozerov:
On the behaviour of weighted multi-recombination evolution strategies optimising noisy cigar functions.
483-490
- Dirk V. Arnold, Anthony S. Castellarin:
A novel approach to adaptive isolation in evolution strategies.
491-498
- Hans-Georg Beyer, Martin Dobler, Christian Hämmerle, Philip Masser:
On strategy parameter control by Meta-ES.
499-506
- Xuefeng Chen, Xiabi Liu, Yunde Jia:
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers.
507-514
- Stephen B. Chisholm, Dirk V. Arnold, Stephen Brooks:
Tone mapping by interactive evolution.
515-522
- Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du:
Hybrid differential evolution based on fuzzy C-means clustering.
523-530
- Konstantinos E. Parsopoulos:
Cooperative micro-differential evolution for high-dimensional problems.
531-538
- Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber:
Efficient natural evolution strategies.
539-546
Track 7:
evolutionary multiobjective optimization
- Hernán E. Aguirre, Kiyoshi Tanaka:
Space partitioning with adaptive epsilon-ranking and substitute distance assignments: a comparative study on many-objective mnk-landscapes.
547-554
- Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Articulating user preferences in many-objective problems by sampling the weighted hypervolume.
555-562
- Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences.
563-570
- Tobias Friedrich, Christian Horoba, Frank Neumann:
Multiplicative approximations and the hypervolume indicator.
571-578
- Abel Garcia-Najera, John A. Bullinaria:
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows.
579-586
- José Luis Guerrero, Jesús García, Luis Martí, José Manuel Molina, Antonio Berlanga:
A stopping criterion based on Kalman estimation techniques with several progress indicators.
587-594
- Martin Jähne, Xiaodong Li, Jürgen Branke:
Evolutionary algorithms and multi-objectivization for the travelling salesman problem.
595-602
- Patrick Koch, Oliver Kramer, Günter Rudolph, Nicola Beume:
On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization.
603-610
- Antonio López Jaimes, Carlos A. Coello Coello:
Study of preference relations in many-objective optimization.
611-618
- Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm.
619-626
- Jean-Baptiste Mouret, Stéphane Doncieux:
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution.
627-634
- Marek Ostaszewski, Pascal Bouvry, Franciszek Seredynski:
Multiobjective classification with moGEP: an application in the network traffic domain.
635-642
- Alan P. Reynolds, David W. Corne, Beatriz de la Iglesia:
A multiobjective GRASP for rule selection.
643-650
- Oliver Schütze, Adriana Lara, Carlos A. Coello Coello:
Evolutionary continuation methods for optimization problems.
651-658
- Ofer M. Shir, Jonathan Roslund, Herschel Rabitz:
Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation.
659-666
- Upali K. Wickramasinghe, Xiaodong Li:
Using a distance metric to guide PSO algorithms for many-objective optimization.
667-674
Track 8:
generative and developmental systems
- Jeff Clune, Charles Ofria, Robert T. Pennock:
The sensitivity of HyperNEAT to different geometric representations of a problem.
675-682
- René Doursat:
Facilitating evolutionary innovation by developmental modularity and variability.
683-690
- Marcus Furuholmen, Kyrre Harald Glette, Mats Erling Høvin, Jim Torresen:
Scalability, generalization and coevolution -- experimental comparisons applied to automated facility layout planning.
691-698
- Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
Evolution, development and learning using self-modifying cartesian genetic programming.
699-706
- Gul Muhammad Khan, Julian F. Miller:
Evolution of cartesian genetic programs capable of learning.
707-714
- Jean Krohn, Peter J. Bentley, Hooman Shayani:
The challenge of irrationality: fractal protein recipes for PI.
715-722
- Miguel Nicolau, Marc Schoenauer:
Evolving specific network statistical properties using a gene regulatory network model.
723-730
- Vinod K. Valsalam, Risto Miikkulainen:
Evolving symmetric and modular neural networks for distributed control.
731-738
Track 9:
genetic algorithms
- Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Adaptation of expansion rate for real-coded crossovers.
739-746
- Carlos R. B. Azevedo, V. Scott Gordon:
Adaptive terrain-based memetic algorithms.
747-754
- Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin:
Bayesian network structure learning using cooperative coevolution.
755-762
- Pedro A. Diaz-Gomez, Dean F. Hougen:
Three interconnected parameters for genetic algorithms.
763-770
- Benjamin Doerr, Anton V. Eremeev, Christian Horoba, Frank Neumann, Madeleine Theile:
Evolutionary algorithms and dynamic programming.
771-778
- Álvaro Fialho, Marc Schoenauer, Michèle Sebag:
Analysis of adaptive operator selection techniques on the royal road and long k-path problems.
779-786
- Stefan Haflidason, Richard Neville:
On the significance of the permutation problem in neuroevolution.
787-794
- Gregory S. Hornby:
Steady-state ALPS for real-valued problems.
795-802
- Christian Horoba, Thomas Jansen, Christine Zarges:
Maximal age in randomized search heuristics with aging.
803-810
- Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin:
Cheating for problem solving: a genetic algorithm with social interactions.
811-818
- Juan Luís Jiménez Laredo, Carlos Fernandes, Juan Julián Merelo Guervós, Christian Gagné:
Improving genetic algorithms performance via deterministic population shrinkage.
819-826
- Takéhiko Nakama:
Markov chain analysis of genetic algorithms in a wide variety of noisy environments.
827-834
- Frank Neumann, Pietro Simone Oliveto, Carsten Witt:
Theoretical analysis of fitness-proportional selection: landscapes and efficiency.
835-842
- Martin Pelikan, Helmut G. Katzgraber:
Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions.
843-850
- Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild:
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.
851-858
- Clara Pizzuti:
Overlapped community detection in complex networks.
859-866
- Min Shi, Haifeng Wu:
Pareto cooperative coevolutionary genetic algorithm using reference sharing collaboration.
867-874
- Anabela Simões, Ernesto Costa:
Improving prediction in evolutionary algorithms for dynamic environments.
875-882
- Anabela Simões, Ernesto Costa:
Prediction in evolutionary algorithms for dynamic environments using markov chains and nonlinear regression.
883-890
- David Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue:
Centric selection: a way to tune the exploration/exploitation trade-off.
891-898
- Philipp Stuermer, Anthony Bucci, Jürgen Branke, Pablo Funes, Elena Popovici:
Analysis of coevolution for worst-case optimization.
899-906
- Xiaoyan Sun, Dunwei Gong, Subei Li:
Classification and regression-based surrogate model-assisted interactive genetic algorithm with individual's fuzzy fitness.
907-914
- Darrell Whitley, Doug Hains, Adele E. Howe:
Tunneling between optima: partition crossover for the traveling salesman problem.
915-922
- Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong:
An evolutionary algorithm with species-specific explosion for multimodal optimization.
923-930
Track 10:
genetic programming
- Sam D. Allen, Edmund K. Burke, Matthew R. Hyde, Graham Kendall:
Evolving reusable 3d packing heuristics with genetic programming.
931-938
- Perry Barile, Victor Ciesielski, Marsha Berry, Karen Trist:
Animated drawings rendered by genetic programming.
939-946
- Stephanie Forrest, ThanhVu Nguyen, Westley Weimer, Claire Le Goues:
A genetic programming approach to automated software repair.
947-954
- Ami Hauptman, Achiya Elyasaf, Moshe Sipper, Assaf Karmon:
GP-rush: using genetic programming to evolve solvers for the rush hour puzzle.
955-962
- Ting Hu, Wolfgang Banzhaf:
Neutrality and variability: two sides of evolvability in linear genetic programming.
963-970
- Jae-Yoon Jung, James A. Reggia:
Evolving an autonomous agent for non-Markovian reinforcement learning.
971-978
- David Kinzett, Mark Johnston, Mengjie Zhang:
How online simplification affects building blocks in genetic programming.
979-986
- Krzysztof Krawiec, Pawel Lichocki:
Approximating geometric crossover in semantic space.
987-994
- Krzysztof Krawiec, Bartosz Wieloch:
Functional modularity for genetic programming.
995-1002
- Robert I. McKay, Xuan Hoai Nguyen, James R. Cheney, MinHyeok Kim, Naoki Mori, Tuan Hao Hoang:
Estimating the distribution and propagation of genetic programming building blocks through tree compression.
1011-1018
- Nicholas Freitag McPhee, Ellery Fussell Crane, Sara E. Lahr, Riccardo Poli:
Developmental plasticity in linear genetic programming.
1019-1026
- Kourosh Neshatian, Mengjie Zhang:
Pareto front feature selection: using genetic programming to explore feature space.
1027-1034
- Michael O'Neill, John Mark Swafford, James McDermott, Jonathan Byrne, Anthony Brabazon, Elizabeth Shotton, Ciaran McNally, Martin Hemberg:
Shape grammars and grammatical evolution for evolutionary design.
1035-1042
- Michael Orlov, Moshe Sipper:
Genetic programming in the wild: evolving unrestricted bytecode.
1043-1050
- Cynthia B. Pérez, Gustavo Olague:
Evolutionary learning of local descriptor operators for object recognition.
1051-1058
- Brian J. Ross, Janine H. Imada:
Evolving stochastic processes using feature tests and genetic programming.
1059-1066
- Joshua Rubini, Robert B. Heckendorn, Terence Soule:
Evolution of team composition in multi-agent systems.
1067-1074
- Andrew Runka:
Evolving an edge selection formula for ant colony optimization.
1075-1082
- Michael D. Schmidt, Hod Lipson:
Discovering a domain alphabet.
1083-1090
- Michael D. Schmidt, Hod Lipson:
Incorporating expert knowledge in evolutionary search: a study of seeding methods.
1091-1098
- Marc Segond, Cyril Fonlupt, Denis Robilliard:
Genetic programming for protein related text classification.
1099-1106
- Shinichi Shirakawa, Tomoharu Nagao:
Graph structured program evolution with automatically defined nodes.
1107-1114
- Sara Silva, Leonardo Vanneschi:
Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction.
1115-1122
- Tarundeep Singh, Nawwaf N. Kharma, Mohmmad Daoud, Rabab Kreidieh Ward:
Genetic programming based image segmentation with applications to biomedical object detection.
1123-1130
- Makoto Tanji, Hitoshi Iba:
Program optimization by random tree sampling.
1131-1138
- Leonardo Vanneschi, Steven Gustafson:
Using crossover based similarity measure to improve genetic programming generalization ability.
1139-1146
- Toshihiko Yanase, Yoshihiko Hasegawa, Hitoshi Iba:
Binary encoding for prototype tree of probabilistic model building GP.
1147-1154
Track 11:
genetics-based machine learning
- Jaume Bacardit, Natalio Krasnogor:
A mixed discrete-continuous attribute list representation for large scale classification domains.
1155-1162
- Mihaela Elena Breaban, Henri Luchian:
Unsupervised feature weighting with multi niche crowding genetic algorithms.
1163-1170
- Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph:
Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control.
1171-1178
- Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Evolving competitive car controllers for racing games with neuroevolution.
1179-1186
- Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, James A. R. Marshall:
Modeling UCS as a mixture of experts.
1187-1194
- John Levine, C. Henrik Westerberg, Michelle Galea, David Humphreys:
Evolutionary-based learning of generalised policies for AI planning domains.
1195-1202
- Feng Gu, Julie Greensmith, Uwe Aickelin:
Integrating real-time analysis with the dendritic cell algorithm through segmentation.
1203-1210
- Verena Heidrich-Meisner, Christian Igel:
Uncertainty handling CMA-ES for reinforcement learning.
1211-1218
- Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF.
1219-1226
- Marcelo N. Kapp, Robert Sabourin, Patrick Maupin:
A PSO-based framework for dynamic SVM model selection.
1227-1234
- Victor M. Landassuri-Moreno, John A. Bullinaria:
Neural network ensembles for time series forecasting.
1235-1242
- Marek Lipczak, Evangelos E. Milios:
Agglomerative genetic algorithm for clustering in social networks.
1243-1250
- Ruochen Liu, Zhengchun Sheng, Licheng Jiao:
Gene transposon based clonal selection algorithm for clustering.
1251-1258
- Timothy Meekhof, Terence Soule, Robert B. Heckendorn:
Improving Markov chain classification using string transformations and evolutionary search.
1259-1266
- Drew Mellor, Steven P. Nicklin:
A population-based approach to finding the matchset of a learning classifier system efficiently.
1267-1274
- Thomas Stibor, Robert Oates, Graham Kendall, Jonathan M. Garibaldi:
Geometrical insights into the dendritic cell algorithm.
1275-1282
- WonKyung Park, Jae C. Oh:
New entropy model for extraction of structural information from XCS population.
1283-1290
- Riccardo Poli, Mario Graff:
Free lunches for neural network search.
1291-1298
- Richard Preen, Larry Bull:
Discrete dynamical genetic programming in XCS.
1299-1306
- José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín:
uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions.
1307-1314
- Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà:
On the scalability of XCS(F).
1315-1322
- Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. Carvalho:
The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results.
1323-1330
Track 12:
parallel evolutionary systems
- Lourdes Araujo, Juan Julián Merelo Guervós, Antonio Mora García, Carlos Cotta:
Genotypic differences and migration policies in an island model.
1331-1338
- Marco Biazzini, Balázs Bánhelyi, Alberto Montresor, Márk Jelasity:
Distributed hyper-heuristics for real parameter optimization.
1339-1346
- Grégoire Danoy, Bernabé Dorronsoro, Pascal Bouvry:
Overcoming partitioning in large ad hoc networks using genetic algorithms.
1347-1354
- Paul Grouchy, Jekanthan Thangavelautham, Gabriele M. T. D'Eleuterio:
An island model for high-dimensional genomes using phylogenetic speciation and species barcoding.
1355-1362
- Kenneth L. Holladay:
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster.
1363-1370
- Coromoto León, Gara Miranda, Carlos Segura:
A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problem.
1371-1378
- Tony E. Lewis, George D. Magoulas:
Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs.
1379-1386
- Xavier Llorà:
Data-intensive computing for competent genetic algorithms: a pilot study using meandre.
1387-1394
- Gabriel Luque, Enrique Alba, Bernabé Dorronsoro:
An asynchronous parallel implementation of a cellular genetic algorithm for combinatorial optimization.
1395-1402
- Ogier Maitre, Laurent A. Baumes, Nicolas Lachiche, Avelino Corma, Pierre Collet:
Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA.
1403-1410
- Christian L. Müller, Benedikt Baumgartner, Georg Ofenbeck, Birte Schrader, Ivo F. Sbalzarini:
pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation.
1411-1418
Track 13:
real world application
- M. Ali Akbar, Muddassar Farooq:
Application of evolutionary algorithms in detection of SIP based flooding attacks.
1419-1426
- Claus de Castro Aranha, Hitoshi Iba:
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios.
1427-1434
- Marco Branca, Lorenzo Camerini, Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems.
1435-1442
- Jérémie Bruyelle, Arnaud Lange:
An extended evolution strategy for the characterization of fracture conductivities from well tests.
1443-1450
- Matthew Butler, Ali Daniyal:
Multi-objective optimization with an evolutionary artificial neural network for financial forecasting.
1451-1458
- Louis Charbonneau, Nawwaf N. Kharma:
Evolutionary inference of rule-based trading agents from real-world stock price histories and their use in forecasting.
1459-1466
- Luís Da Costa, Marc Schoenauer:
Bringing evolutionary computation to industrial applications with guide.
1467-1474
- Dipankar Dasgupta, Fernando Niño, Deon Garrett, Koyel Chaudhuri, Soujanya Medapati, Aishwarya Kaushal, James Simien:
A multiobjective evolutionary algorithm for the task based sailor assignment problem.
1475-1482
- Omid David-Tabibi, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu:
Simulating human grandmasters: evolution and coevolution of evaluation functions.
1483-1490
- François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau:
Optimizing low-discrepancy sequences with an evolutionary algorithm.
1491-1498
- Rinku Dewri, Darrell Whitley, Indrajit Ray, Indrakshi Ray:
A multi-objective approach to data sharing with privacy constraints and preference based objectives.
1499-1506
- D. Dumitrescu, Rodica Ioana Lung, Tudor Dan Mihoc:
Generative relations for evolutionary equilibria detection.
1507-1512
- Ghada Hassan, Christopher D. Clack:
Robustness of multiple objective GP stock-picking in unstable financial markets: real-world applications track.
1513-1520
- Jonathan D. Hiller, Hod Lipson:
Multi material topological optimization of structures and mechanisms.
1521-1528
- Akinori Hirabayashi, Claus de Castro Aranha, Hitoshi Iba:
Optimization of the trading rule in foreign exchange using genetic algorithm.
1529-1536
- Jirí Jaros:
Evolutionary optimization of multistage interconnection networks performance.
1537-1544
- Peter M. Kruse, Joachim Wegener, Stefan Wappler:
A highly configurable test system for evolutionary black-box testing of embedded systems.
1545-1552
- Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq:
IMAD: in-execution malware analysis and detection.
1553-1560
- Hoang Nguyen, Bir Bhanu:
Tracking multiple objects in non-stationary video.
1561-1568
- Sadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Muddassar Farooq:
Evolvable malware.
1569-1576
- John C. Oliva, Erik D. Goodman:
Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms.
1577-1584
- Jella Pfeiffer, Dejan Duzevik, Franz Rothlauf, Koichi Yamamoto:
A genetic algorithm for analyzing choice behavior with mixed decision strategies.
1585-1592
- Cesar Puente, Gustavo Olague, Stephen V. Smith, Stephen H. Bullock, Miguel A. González-Botello, Alejandro Hinojosa-Corona:
Genetic programming methodology that synthesize vegetation indices for the estimation of soil cover.
1593-1600
- José Luis Risco-Martín, José Ignacio Hidalgo, David Atienza, Juan Lanchares, Oscar Garnica:
Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems.
1601-1608
- José L. Risco-Martín, David Atienza, Rubén Gonzalo, José Ignacio Hidalgo:
Optimization of dynamic memory managers for embedded systems using grammatical evolution.
1609-1616
- Muhammad Shahzad, Saira Zahid, Muddassar Farooq:
A hybrid GA-PSO fuzzy system for user identification on smart phones.
1617-1624
- Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier:
A genetic approach to statistical disclosure control.
1625-1632
- Garnett Carl Wilson, Wolfgang Banzhaf:
Soft memory for stock market analysis using linear and developmental genetic programming.
1633-1640
- Wei Yan, Christopher D. Clack:
Behavioural GP diversity for adaptive stock selection.
1641-1648
Track 14:
search based software engineering
- Andrea Arcuri:
Insight knowledge in search based software testing.
1649-1656
- Zeina Awedikian, Kamel Ayari, Giuliano Antoniol:
MC/DC automatic test input data generation.
1657-1664
- Javier Ferrer, J. Francisco Chicano, Enrique Alba:
Dealing with inheritance in OO evolutionary testing.
1665-1672
- Stefan Gueorguiev, Mark Harman, Giuliano Antoniol:
Software project planning for robustness and completion time in the presence of uncertainty using multi objective search based software engineering.
1673-1680
- Mark Harman, Jens Krinke, Jian Ren, Shin Yoo:
Search based data sensitivity analysis applied to requirement engineering.
1681-1688
- Phil McMinn:
Search-based failure discovery using testability transformations to generate pseudo-oracles.
1689-1696
- Sion Ll Rhys, Simon M. Poulding, John A. Clark:
Using automated search to generate test data for matlab.
1697-1704
Track 15:
theory
Track 1:
ant colony optimization and swarm intelligence
- Julio Barrera, Carlos A. Coello Coello:
Limiting the velocity in particle swarm optimization using a geometric series.
1739-1740
- Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao:
Apply ant colony optimization to Tetris.
1741-1742
- Sunny Choi, Blayne E. Mayfield:
Particle swarm optimization in the presence of multiple global optima.
1743-1744
- Frank Jones, Terence Soule:
Dynamic particle swarm optimization via ring topologies.
1745-1746
- Tyson Kendon, Kate Chatfield-Reed, Christian Jacob:
Building with the beeoids: guided automatic construction using pheromones.
1747-1748
- Kyriakos Kentzoglanakis, Matthew Poole:
Particle swarm optimization with an oscillating inertia weight.
1749-1750
- Javier H. López, Laura Lanzarini, Armando De Giusti:
Particle swarm optimization with oscillation control.
1751-1752
- Nabila Nouaouria, Mounir Boukadoum:
A particle swarm optimization approach for substance identification.
1753-1754
- Nikhil Padhye:
Comparison of archiving methods in multi-objectiveparticle swarm optimization (MOPSO): empirical study.
1755-1756
- Waseem Shahzad, Abdul Basit Siddiqui, Farrukh Aslam Khan:
Cryptanalysis of four-rounded DES using binary particle swarm optimization.
1757-1758
- Hongfeng Xiao, Guanzheng Tan:
Simplex-based particles swarm optimizer.
1759-1760
- Zhi-hui Zhan, Jun Zhang, Rui-zhang Huang:
Particle swarm optimization with information share mechanism.
1761-1762
- Zhi-hui Zhan, Jun Zhang, Ou Liu:
Orthogonal learning particle swarm optimization.
1763-1764
- Zhi-hui Zhan, Jun Zhang, Yue-jiao Gong:
Ant colony system based on receding horizon control for aircraft arrival sequencing and scheduling.
1765-1766
Track 2:
artificial life, evolutionary robotics, adaptive behavior, and evolvable hardware
Track 3:
bioinformatics and computational biology
- Edgar David Arenas-Díaz, Helga Ochoterena-Booth, Katya Rodríguez-Vázquez:
Multiple sequence alignment using evolutionary algorithms.
1783-1784
- Casey S. Greene, Douglas P. Hill, Jason H. Moore:
Environmental noise improves epistasis models of genetic data discovered using a computational evolution system.
1785-1786
- Mauricio Guevara, Edgar E. Vallejo:
Computer simulation on the maternal effect dominant embryonic arrest (MEDEA) for disease vector population replacement.
1787-1788
- William B. Langdon, Joanna Rowsell, Andrew P. Harrison:
Creating regular expressions as mRNA motifs with GP to predict human exon splitting.
1789-1790
- Luis Germán Pérez-Hernández, Katya Rodríguez-Vázquez, Ramón Garduño-Juárez:
Parallel particle swarm optimization applied to the protein folding problem.
1791-1792
- José Juan Tapia, Edgar E. Vallejo, Enrique Morett:
MOCEA: a multi-objective clustering evolutionary algorithm for inferring protein-protein functional interactions.
1793-1794
- Vinicius Tragante do Ó, Renato Tinós:
Control of the number of random imigrants in genetic algorithms for protein structure prediction.
1795-1796
Track 4:
combinatorial optimization and metaheuristics
- Emely Arráiz, Oswaldo Olivo:
Competitive simulated annealing and Tabu Search algorithms for the max-cut problem.
1797-1798
- Maroun Bercachi, Philippe Collard, Manuel Clergue, Sébastien Vérel:
Do not choose representation just change: an experimental study in states based EA.
1799-1800
- Charles-Edmond Bichot:
Metaheuristics for graph bisection.
1801-1802
- Camelia Chira, Camelia-Mihaela Pintea, Gloria Cerasela Crisan, D. Dumitrescu:
Solving the linear ordering problem using ant models.
1803-1804
- Bryant A. Julstrom:
Evolutionary codings and operators for the terminal assignment problem.
1805-1806
- Parvaz Mahdabi, Mahdi Abadi, Saeed Jalili:
A novel quantum-inspired evolutionary algorithm for solving combinatorial optimization problems.
1807-1808
- Thorsten Meinl, Michael R. Berthold:
Crossover operators for multiobjective k-subset selection.
1809-1810
- José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Jorge Iván Fuentes-Rosado, Manuel Valenzuela-Rendón:
A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems.
1811-1812
- Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ventresca:
A search space analysis for the waste collection vehicle routing problem with time windows.
1813-1814
- Deam James Azevedo da Silva, Roberto Célio Limão de Oliveira:
A multipopulation cultural algorithm based on genetic algorithm for the MKP.
1815-1816
Track 5:
estimation of distribution algorithms
Track 6:
evolution strategies and evolutionary programming
Track 7:
evolutionary multiobjective optimization
- Madeleine Davis-Moradkhan, Will N. Browne, Peter Grindrod:
Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem.
1829-1830
- Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Single-objective and multi-objective formulations of solution selection for hypervolume maximization.
1831-1832
- Giovanni Lizárraga, Arturo Hernández, Salvador Botello:
A benchmark for quality indicators in multi-objective optimization.
1833-1834
- Alvaro Luis Bustamante, José M. Molina López, Miguel A. Patricio:
Video encoder optimization via evolutionary multiobjective optimization algorithms.
1835-1836
- Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren Smith:
An improved secondary ranking for many objective optimization problems.
1837-1838
Track 8:
generative and developmental systems
- Michal Bidlo, Zdenek Vasícek:
Development of combinational circuits using non-uniform cellular automata: initial results.
1839-1840
- María J. Casas, Francisco J. Vico:
On the performance of some bioinspired genetic operators in complex structures evolution.
1841-1842
- Alexandre Devert:
When and why development is needed: generative and developmental systems.
1843-1844
Track 9:
genetic algorithms
- Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S. El-Masry:
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation.
1845-1846
- Bart Gajderowicz, Alireza Sadeghian, Marcus V. dos Santos:
Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping.
1847-1848
- Jonatan Gómez, Giovanni Cantor:
A population scheme using cellular automata, cambrian explosions and massive extinctions.
1849-1850
- Gerardo Gonzalez, Dean F. Hougen:
Elitism, fitness, and growth.
1851-1852
- Yuan-Wei Huang, Ying-ping Chen:
On the detection of general problem structures by using inductive linkage identification.
1853-1854
- Yoshiaki Katada, Kazuhiro Ohkura:
Analysis on topologies of fitness landscapes with both neutrality and ruggedness based on neutral networks.
1855-1856
- Susan Khor:
Effect of degree distribution on evolutionary search.
1857-1858
- Ivan Koryakovskiy, Nguyen Xuan Hoai, Kyoung Mu Lee:
A genetic algorithm with local map for path planning in dynamic environments.
1859-1860
- Fiacc Larkin, Conor Ryan:
Avoiding the pitfalls of noisy fitness functions with genetic algorithms.
1861-1862
- Antonio LaTorre, José María Peña, Santiago Muelas, Manuel Zaforas:
Hybrid evolutionary algorithms for large scale continuous problems.
1863-1864
- Seung-Kyu Lee, Byung Ro Moon:
Genetic algorithm with adaptive elitism-based immigrants for dynamic optimization problems.
1865-1866
- Yun-Geun Lee, Robert I. McKay, Xuan Hoai Nguyen, Dong-Kyun Kim:
The effect of vesicular selection in dynamic environments.
1867-1868
- Wei-Kai Lin, Tian-Li Yu:
Co-evolvability of games in coevolutionary genetic algorithms.
1869-1870
- Jinchao Liu, Zhun Fan, Erik D. Goodman:
SRaDE: an adaptive differential evolution based on stochastic ranking.
1871-1872
- André Nwamba, Daniel R. Tauritz:
Futility-based offspring sizing.
1873-1874
- Gustavo Reis, Francisco Fernández, Gustavo Olague:
Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climber.
1875-1876
- Leonardo Vanneschi, Andrea Valsecchi, Riccardo Poli:
Limitations of the fitness-proportional negative slope coefficient as a difficulty measure.
1877-1878
- Bo Yuan, Marcus Gallagher:
An improved small-sample statistical test for comparing the success rates of evolutionary algorithms.
1879-1880
Track 10:
genetic programming
- Jonathan Byrne, Michael O'Neill, Anthony Brabazon:
Structural and nodal mutation in grammatical evolution.
1881-1882
- Pei Fang Guo, Prabir Bhattacharya:
An evolutionary approach to feature function generation in application to biomedical image patterns.
1883-1884
- András Joó, Juan Pablo Neirotti:
Towards identifying salient patterns in genetic programming individuals.
1885-1886
- Ilan Kadar, Ohad Ben-Shahar, Moshe Sipper:
Evolution of a local boundary detector for natural images via genetic programming and texture cues.
1887-1888
- Tim Lewis, Russell J. Haines:
Formal verification to enhance evolution of protocols.
1889-1890
- Yandu Oppacher, Franz Oppacher, Dwight Deugo:
Evolving java objects using a grammar-based approach.
1891-1892
- Andy Song, Dunhai Chen, Mengjie Zhang:
Bloat control in genetic programming by evaluating contribution of nodes.
1893-1894
- Leonardo Vanneschi, Giuseppe Cuccu:
Variable size population for dynamic optimization with genetic programming.
1895-1896
- Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement.
1897-1898
Track 11:
genetics-based machine learning
- Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong:
The relationship between evolvability and bloat.
1899-1900
- John Doucette, Peter Lichodzijewski, Malcolm I. Heywood:
Benchmarking coevolutionary teaming under classification problems with large attribute spaces.
1901-1902
- Stephen Johns, Marcus V. dos Santos:
On the evolution of neural networks for pairwise classification using gene expression programming.
1903-1904
- Zhenyu Lu, Josh Bongard:
Exploiting multiple classifier types with active learning.
1905-1906
- Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
EMO shines a light on the holes of complexity space.
1907-1908
- Hossein Moeinzadeh, Mehdi Mohammadi, Ahmad Akbari, Babak Nasersharif:
Evolutionary-class independent LDA as a pre-process for improving classification.
1909-1910
- Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg:
Binary representation in gene expression programming: towards a better scalability.
1911-1912
- Farzaneh Naghibi, Ali Vahdat, Malcolm I. Heywood:
Evolutionary clustering with arbitrary subspaces.
1913-1914
- M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq:
Are evolutionary rule learning algorithms appropriate for malware detection?
1915-1916
- Guangfei Yang, Shingo Mabu, Kaoru Shimada, Yunlu Gong, Kotaro Hirasawa:
Ranking association rules for classification based on genetic network programming.
1917-1918
Track 12:
parallel evolutionary systems
Track 13:
real world application
- Sergio Gandini, Danilo Ravotto, Walter Ruzzarin, Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda:
Automatic detection of software defects: an industrial experience.
1921-1922
- Aaron Garrett, Daniel Eric Smith:
Alternative voting systems in stock car racing.
1923-1924
- Erik F. Golen, Bo Yuan, Nirmala Shenoy:
An evolutionary approach to underwater sensor deployment.
1925-1926
- Qingsong Hu, Lihong Xu, Erik D. Goodman:
Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II.
1927-1928
- Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Robert Benkoczi:
An evolutionary approach to planning IEEE 802.16 networks.
1929-1930
- Hyumin Kim, Yong-Hyuk Kim:
Optimal designs of ambiguous mobile keypad with alphabetical constraints.
1931-1932
- Seung-Kyu Lee, Byung Ro Moon:
Finding attractive rules in stock markets using a modular genetic programming.
1933-1934
- Akira Oyama, Taku Nonomura, Kozo Fujii:
Data mining of non-dominated solutions using proper orthogonal decomposition.
1935-1936
- Mohamad M. Tawfick, Hazem M. Abbas, Hussein I. Shahein:
Evolutionary maximum likelihood image compression.
1937-1938
- Paresh Tolay, Rajeev Kumar:
Evolution of hyperheuristics for the biobjective graph coloring problem using multiobjective genetic programming.
1939-1940
- Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal:
An evolutionary approach to constructive induction for link discovery.
1941-1942
- Andreas Windisch, Felix F. Lindlar, Sebastian Topuz, Stefan Wappler:
Evolutionary functional testing of continuous control systems.
1943-1944
Track 14:
search based software engineering
Track 15:
theory
Last update Sat May 18 18:32:43 2013
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