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ORCIDGECCO 2006: Seattle, Washington, USA
- Mike Cattolico:
Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington, USA, July 8-12, 2006. ACM 2006, ISBN 1-59593-186-4
Ant colony optimization and swarm intelligence: papers
- Stefan Bird, Xiaodong Li:
Adaptively choosing niching parameters in a PSO. 3-10 - Thang Nguyen Bui, Catherine M. Zrncic:
An ant-based algorithm for finding degree-constrained minimum spanning tree. 11-18 - Thang Nguyen Bui, ThanhVu H. Nguyen:
An agent-based algorithm for generalized graph colorings. 19-26 - Allen Chan, Alex Alves Freitas:
A new ant colony algorithm for multi-label classification with applications in bioinfomatics. 27-34 - Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson
:
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. 35-42 - James Smaldon, Alex Alves Freitas:
A new version of the ant-miner algorithm discovering unordered rule sets. 43-50 - Xiaodong Li, Jürgen Branke, Tim Blackwell:
Particle swarm with speciation and adaptation in a dynamic environment. 51-58 - Christopher K. Monson, Kevin D. Seppi:
Adaptive diversity in PSO. 59-66 - Srinivas Pasupuleti, Roberto Battiti:
The gregarious particle swarm optimizer (G-PSO). 67-74 - Andrew M. Sutton, L. Darrell Whitley, Monte Lunacek, Adele E. Howe:
PSO and multi-funnel landscapes: how cooperation might limit exploration. 75-82
Ant colony optimization and swarm intelligence: posters
- Ming-chung Jian, Ying-Ping Chen:
Introducing recombination with dynamic linkage discovery to particle swarm optimization. 85-86 - Matteo Matteucci, Lorenzo Mussone:
Ant colony optimization technique for equilibrium assignment in congested transportation networks. 87-88 - Margarita Reyes Sierra, Carlos A. Coello Coello:
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization. 89-90 - William A. Tozier, Michael R. Chesher, Tejinderpal S. Devgan:
The Brueckner network: an immobile sorting swarm. 91-92
Artificial immune systems: papers
- Werner Dilger, Steve Strangfeld:
Properties of the bersini experiment on self-assertion. 95-102 - Kenneth S. Edge, Gary B. Lamont, Richard A. Raines:
A retrovirus inspired algorithm for virus detection & optimization. 103-110 - Zhou Ji, Dipankar Dasgupta:
Applicability issues of the real-valued negative selection algorithms. 111-118 - Marek Ostaszewski, Franciszek Seredynski, Pascal Bouvry:
Immune anomaly detection enhanced with evolutionary paradigms. 119-126
Artificial immune systems: posters
- Andreas Pietzowski, Wolfgang Trumler, Theo Ungerer:
An artificial immune system and its integration into an organic middleware for self-protection. 129-130 - Stefan Schadwinkel, Werner Dilger:
A dynamic approach to artificial immune systems utilizing neural networks. 131-132
Artificial life, evolutionary robotics, adaptive behavior: papers
- Gregory J. Barlow, Choong K. Oh:
Robustness analysis of genetic programming controllers for unmanned aerial vehicles. 135-142 - Josh Jones, Terry Soule:
Comparing genetic robustness in generational vs. steady state evolutionary algorithms. 143-150 - DaeEun Kim:
Memory analysis and significance test for agent behaviours. 151-158 - Michael Kirley:
Dominance hierarchies and social diversity in multi-agent systems. 159-166 - Heejin Lim, Yoonsuck Choe:
Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks. 167-174 - J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule Kulubekova:
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism. 175-182 - Volker Nannen, A. E. Eiben:
A method for parameter calibration and relevance estimation in evolutionary algorithms. 183-190 - Gustavo Olague, Cesar Puente:
Parisian evolution with honeybees for three-dimensional reconstruction. 191-198 - Stephan Otto, Stefan Kirn:
Adaption in distributed systems: an evolutionary approach. 199-206 - Joshua L. Payne, Margaret J. Eppstein:
Emergent mating topologies in spatially structured genetic algorithms. 207-214 - Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto:
Modular thinking: evolving modular neural networks for visual guidance of agents. 215-222 - Xue Zhong, Terence Soule:
Growth of self-canceling code in evolutionary systems. 223-228
Genetic algorithms: posters
- Jason Amunrud, Bryant A. Julstrom:
Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programming. 1395-1396 - Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürgen:
A comparative study of evolutionary optimization techniques in dynamic environments. 1397-1398 - Yossi Borenstein, Riccardo Poli:
The no free lunch and realistic search algorithms. 1399-1400 - Yossi Borenstein, Riccardo Poli:
Classes of problems in the black box scenario. 1401-1402 - Marco Carpentieri, Vito Fedullo:
A genetic model based on simulated crossover of quaternary genes for quadratic fitness. 1403-1404 - Rachel Cavill, Stephen L. Smith, Andy M. Tyrrell:
Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem. 1405-1406 - Justin Collins, David Joslin:
Improving genetic algorithm performance with intelligent mappings from chromosomes to solutions. 1407-1408 - Pedro A. Diaz-Gomez, Dean F. Hougen:
The snake in the box problem: mathematical conjecture and a genetic algorithm approach. 1409-1410 - Mitsuo Gen, Lin Lin:
A new approach for shortest path routing problem by random key-based GA. 1411-1412 - Xiaojun Geng:
Solving identification problem for asynchronous finite state machines using genetic algorithms. 1413-1414 - Ping-Chu Hung, Ying-Ping Chen:
iECGA: integer extended compact genetic algorithm. 1415-1416 - Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge:
Analyzing active interactive genetic algorithms using visual analytics. 1417-1418 - Mitsukuni Matayoshi, Morikazu Nakamura, Hayao Miyagi:
Extraction of landscape information based on a quality control approach and its applications to mutation in GAExtraction of landscape information based on a quality control approach and its applications to mutation in GA. 1419-1420 - Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon, Riccardo Poli:
Generalized cycle crossover for graph partitioning. 1421-1422 - M. Kivanc Oner, Ivan I. Garibay, Annie S. Wu:
Mating networks in steady state genetic algorithms are scale free. 1423-1424 - Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer:
Distributed genetic algorithm for energy-efficient resource management in sensor networks. 1425-1426 - Luke Sheneman, James A. Foster:
Estimating the destructiveness of crossover on binary tree representations. 1427-1428 - Paul Snijders, Edwin D. de Jong, Bart de Boer, Franjo Weissing:
Multi-objective diversity maintenance. 1429-1430 - Otávio Noura Teixeira, Artur Noura Teixeira, Felipe Houat de Brito, Roberto Célio Limão de Oliveira:
Game theory as a new paradigm for phenotype characterization of genetic algorithms. 1431-1432 - Hoa Vo, Justin Terada, David Joslin, Jeff Dragovich:
Leveraging domain-expert knowledge in a genetic algorithm for civil engineering design optimization. 1433-1434 - Shengxiang Yang:
Dominance learning in diploid genetic algorithms for dynamic optimization problems. 1435-1436 - Sanyou Zeng, Rui Wang, Hui Shi, Guang Chen, Hugo de Garis, Lishan Kang, Lixin Ding:
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design. 1437-1438
Artificial life, evolutionary robotics, adaptive behavior: posters
- Arturo Chavoya, Yves Duthen:
Using a genetic algorithm to evolve cellular automata for 2D/3D computational development. 231-232 - David J. Montana, Eric Van Wyk, Marshall Brinn, Joshua Montana, Stephen Milligan:
Genomic computing networks learn complex POMDPs. 233-234 - Hai Liang Peng, Joc Cing Tay:
The Baldwin effect under spatial isolation and autonomous reproduction. 235-236
Biological applications: papers
- Arpit A. Almal, Anirban P. Mitra, Ram H. Datar, Peter F. Lenehan, David W. Fry, Richard J. Cote, William P. Worzel:
Using genetic programming to classify node positive patients in bladder cancer. 239-246 - Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz:
Coordination number prediction using learning classifier systems: performance and interpretability. 247-254 - Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi:
Genetic programming for human oral bioavailability of drugs. 255-262 - Nasimul Noman, Hitoshi Iba:
Inference of genetic networks using S-system: information criteria for model selection. 263-270 - Topon Kumar Paul, Hitoshi Iba:
Identification of weak motifs in multiple biological sequences using genetic algorithm. 271-278 - Christian Spieth, Nadine Hassis, Felix Streichert:
Comparing mathematical models on the problem of network inference. 279-286 - Tiffani L. Williams, Marc L. Smith:
The role of diverse populations in phylogenetic analysis. 287-294
Biological applications: posters
- Ignasi Belda, Ivan Traus, Susana Gordo, Teresa Tarragó, Sergio Madurga, Xavier Llorà, Ernest Giralt:
Peptide data mining: from virtual design to knowledge extraction. 297-298 - Clayton Matthew Johnson, Anitha Katikireddy:
A genetic algorithm with backtracking for protein structure prediction. 299-300 - Timothy Meekhof, Gary W. Daughdrill, Robert B. Heckendorn:
String transformation-based Bayesian classification or proteins. 301-302 - Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon:
A hybrid genetic search for multiple sequence alignment. 303-304 - Christian Spieth, Rene Worzischek, Felix Streichert:
Comparing evolutionary algorithms on the problem of network inference. 305-306 - Philip Tan, Joc Cing Tay:
Evolving boolean networks to find intervention points in dengue pathogenesis. 307-308 - Frederik P. J. Vandecasteele, Thomas F. Hess, Ronald L. Crawford:
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions. 309-310
Coevolution: papers
- Edwin D. de Jong, Anthony Bucci:
DECA: dimension extracting coevolutionary algorithm. 313-320 - Sevan G. Ficici:
A game-theoretic investigation of selection methods in two-population coevolution. 321-328 - German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen:
Coevolution of neural networks using a layered pareto archive. 329-336 - Frans A. Oliehoek, Edwin D. de Jong, Nikos Vlassis:
The parallel Nash Memory for asymmetric games. 337-344 - Liviu Panait, Sean Luke, Joseph F. Harrison:
Archive-based cooperative coevolutionary algorithms. 345-352 - Elena Popovici, Kenneth A. De Jong:
The effects of interaction frequency on the optimization performance of cooperative coevolution. 353-360 - Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsecchi, Stefano Cagnoni:
Heterogeneous cooperative coevolution: strategies of integration between GP and GA. 361-368 - R. Paul Wiegand, Mitchell A. Potter:
Robustness in cooperative coevolution. 369-376
Coevolution: posters
- Bastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens M. Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann:
High-order punishment and the evolution of cooperation. 379-380 - Walter de Back, Marco A. Wiering, Edwin D. de Jong:
Red Queen dynamics in a predator-prey ecosystem. 381-382 - Nanlin Jin:
Indirect co-evolution for understanding belief in an incomplete information dynamic game. 383-384 - Michael D. Schmidt, Hod Lipson:
Actively probing and modeling users in interactive coevolution. 385-386
Estimation of distribution algorithms: papers
- Yunpeng Cai, Xiaomin Sun, Peifa Jia:
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence. 389-396 - Jörn Grahl, Peter A. N. Bosman, Franz Rothlauf:
The correlation-triggered adaptive variance scaling IDEA. 397-404 - Martin Pelikan, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of hierarchical BOA. 405-412 - Andrei Petrovski, Siddhartha Shakya, John A. W. McCall:
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. 413-418 - Kumara Sastry, Cláudio F. Lima, David E. Goldberg:
Evaluation relaxation using substructural information and linear estimation. 419-426
Estimation of distribution algorithms: posters
- Moshe Looks:
Levels of abstraction in modeling and sampling: the feature-based Bayesian optimization algorithm. 429-430 - Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Hierarchical BOA on random decomposable problems. 431-432 - Hao Wu, Jonathan L. Shapiro:
Does overfitting affect performance in estimation of distribution algorithms. 433-434
Evolution strategies, evolutionary programming: papers
- Dirk V. Arnold, Alexander MacLeod:
Hierarchically organised evolution strategies on the parabolic ridge. 437-444 - Anne Auger, Nikolaus Hansen:
Reconsidering the progress rate theory for evolution strategies in finite dimensions. 445-452 - Christian Igel, Thorsten Suttorp, Nikolaus Hansen:
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. 453-460 - Jens Jägersküpper:
Probabilistic runtime analysis of (1 +<over>, lambda), ES using isotropic mutations. 461-468 - Thomas Jansen, Ingo Wegener:
On the local performance of simulated annealing and the (1+1) evolutionary algorithm. 469-476 - Monte Lunacek, L. Darrell Whitley:
The dispersion metric and the CMA evolution strategy. 477-484 - Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello:
A comparative study of differential evolution variants for global optimization. 485-492 - Dirk Sudholt:
On the analysis of the (1+1) memetic algorithm. 493-500
Evolution strategies, evolutionary programming: poster
- Andrea Soltoggio:
A simple line search operator for ridged landscapes. 503-504
Evolutionary combinatorial optimization: papers
- William Beaudoin, Sébastien Vérel, Philippe Collard, Cathy Escazut:
Deceptiveness and neutrality the ND family of fitness landscapes. 507-514 - Christian Blum:
A new hybrid evolutionary algorithm for the huge k-cardinality tree problem. 515-522 - Yoginder S. Dandass, Amit C. Bugde:
Comparison of genetic representation schemes for scheduling soft real-time parallel applications. 523-530 - Manuel Cebrián, Iván Dotú:
GRASP - evolution for constraint satisfaction problems. 531-538 - Oliver Giel, Ingo Wegener:
Maximum cardinality matchings on trees by randomized local search. 539-546 - Amanda Hiley, Bryant A. Julstrom:
The quadratic multiple knapsack problem and three heuristic approaches to it. 547-552 - Jeremiah Nummela, Bryant A. Julstrom:
An effective genetic algorithm for the minimum-label spanning tree problem. 553-558 - David Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue:
Anisotropic selection in cellular genetic algorithms. 559-566 - Tobias Storch:
How randomized search heuristics find maximum cliques in planar graphs. 567-574 - Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
Adaptation for parallel memetic algorithm based on population entropy. 575-582 - Syhlin Kuah, Joc Cing Tay:
Combining simplex with niche-based evolutionary computation for job-shop scheduling. 583-590 - Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón:
A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. 591-598 - Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang:
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. 599-606
Evolutionary combinatorial optimization: posters
- Brenda Hinkemeyer, Bryant A. Julstrom:
A genetic algorithm for the longest common subsequence problem. 609-610 - Steven Manos, Geraint Lewis:
A combinatorial genetic algorithm for the configuration of the 2dF/AAOmega spectrograph at the anglo-Australian observatory. 611-612 - Sébastien Vérel, Philippe Collard, Manuel Clergue:
Measuring the evolvability landscape to study neutrality. 613-614 - Mohammed Saeed Zahrani, Martin J. Loomes, James A. Malcolm, Andreas Alexander Albrecht:
Genetic local search for multicast routing. 615-616
Evolutionary multiobjective optimization: papers
- Adam Berry, Peter Vamplew:
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. 619-626 - Peter A. N. Bosman, Edwin D. de Jong:
Combining gradient techniques for numerical multi-objective evolutionary optimization. 627-634 - Kalyanmoy Deb, J. Sundar:
Reference point based multi-objective optimization using evolutionary algorithms. 635-642 - Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen: