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ORCIDGECCO 2009: Montreal, Québec, Canada
- Franz Rothlauf:
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 Evan 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, Cameron Alexander, 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, José Crispín Hernández Hernández:
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 I. 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 García-Nájera, 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 Tørresen:
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 Luis Jiménez Laredo, Carlos M. 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 S. 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 - L. 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