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ORCIDGECCO 2005 Workshops: Washington, DC, USA
- Franz Rothlauf:
Genetic and Evolutionary Computation Conference, GECCO 2005, Workshop Proceedings, Washington DC, USA, June 25-26, 2005. ACM 2005
BioGEC contributions
- Michael A. Lones
, Andrew M. Tyrrell:
The evolutionary computation approach to motif discovery in biological sequences. 1-11 - Russ Abbott:
Challenges for biologically-inspired computing. 12-22
EvoDOP contributions
- Shengxiang Yang, Jürgen Branke:
Evolutionary algorithms for dynamic optimization problems: workshop preface. 23-24 - Abdulnasser Younes, Paul H. Calamai, Otman A. Basir:
Generalized benchmark generation for dynamic combinatorial problems. 25-31 - William Rand, Rick L. Riolo:
Measurements for understanding the behavior of the genetic algorithm in dynamic environments: a case study using the Shaky Ladder Hyperplane-Defined Functions. 32-38 - Peter A. N. Bosman:
Learning, anticipation and time-deception in evolutionary online dynamic optimization. 39-47 - Amine M. Boumaza:
Learning environment dynamics from self-adaptation: a preliminary investigation. 48-54 - Dudy Lim, Yew-Soon Ong, Bu-Sung Lee:
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty. 55-62
IWLCS contributions
- Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu:
Learning classifier system ensemble for data mining. 63-66 - John H. Holmes:
Detection of sentinel predictor-class associations with XCS: a sensitivity analysis. 67-71 - Daqian Gu, Yang Gao:
Incremental gradient descent imputation method for missing data in learning classifier systems. 72-73 - Albert Orriols-Puig, Ester Bernadó-Mansilla:
The class imbalance problem in learning classifier systems: a preliminary study. 74-78 - Flavio Baronti, Alessandro Passaro, Antonina Starita:
Post-processing clustering to reduce XCS variability. 79-81 - Drew Mellor:
Policy transfer with a relational learning classifier system. 82-84 - Hai Huong Dam, Hussein A. Abbass, Chris Lokan:
Be real! XCS with continuous-valued inputs. 85-87 - Xavier Llorà, Kumara Sastry, David E. Goldberg:
Binary rule encoding schemes: a study using the compact classifier system. 88-89 - Lashon B. Booker:
Adaptive value function approximations in classifier systems. 90-91 - Atsushi Wada, Keiki Takadama, Katsunori Shimohara:
Learning classifier system equivalent with reinforcement learning with function approximation. 92-93 - Atsushi Wada, Keiki Takadama, Katsunori Shimohara:
Counter example for Q-bucket-brigade under prediction problem. 94-99 - Ali Hamzeh, Adel Rahmani:
Intelligent exploration method for XCS. 100-102 - Alex McMahon, Dan Scott, William N. L. Browne:
An autonomous explore/exploit strategy. 103-108 - Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohara:
Exploring XCS in multiagent environments. 109-111 - Neera P. Sood, Ashley G. Williams, Kenneth A. De Jong:
Evaluating the XCS learning classifier system in competitive simultaneous learning environments. 112-118 - Noah W. Smith, Clare Bates Congdon:
RCS: a learning classifier system for evolutionary robotics. 119-120 - Albert C. Esterline, Chafic BouSaba, Abdollah Homaifar, Dan Rodgers:
A framework for learning coordinated behavior. 121-124
MedGEC contributions
- Peter A. N. Bosman, Tanja Alderliesten:
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions. 125-132 - Claire Bourgeois-République, Bruno Frachet, Pierre Collet:
Using an interactive evolutionary algorithm to help fitting a cochlear implant. 133-139 - Gabriel Mañana, Fabio A. González, Eduardo Romero:
Distributed genetic algorithm for subtraction radiography. 140-146 - Alessandro Passaro, Flavio Baronti, Valentina Maggini:
Exploring relationships between genotype and oral cancer development through XCS. 147-151 - Andrei Petrovski, John A. W. McCall:
Smart problem solving environment for medical decision support. 152-158 - Christopher R. Stephens, Henri Waelbroeck, Susan Talley:
Predicting healthcare costs using GAs. 159-163 - Ivar Siccama, Maarten Keijzer:
Genetic programming as a method to develop powerful predictive models for clinical diagnosis. 164-166
MSAEC contributions
- Richard O. Day, Abel S. Nunez, Gary B. Lamont:
MOEA design of robust digital symbol sets. 167-169 - Patrick LaRoche, Nur Zincir-Heywood:
802.11 network intrusion detection using genetic programming. 170-171 - Jae C. Oh, Misty K. Blowers:
Text-independent open-set speaker identification for military missions using genetic rule-based system. 172-174 - Jeffrey P. Ridder:
Evolutionary computation methods for synchronization of effects based operations. 175-177 - Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Peterson:
An evolutionary algorithm to generate ellipsoid network intrusion detectors. 178-180 - Claire J. Thie, Darren M. Chitty, Colin M. Reed:
Using evolutionary algorithms and dynamic programming to solve uncertain multi-criteria optimization problems with application to lifetime management for military platforms. 181-183 - Talib S. Hussain, Daniel Cerys, David J. Montana, Gordon Vidaver, Jeffrey E. Berliner:
Tactical UGV navigation and logistics planning. 184-186 - John R. McDonnell, Aaron J. Rice:
Rapid asset allocation for dynamic TACAIR decision support. 187-189 - Frank W. Moore, Patrick Marshall:
Evolving next generation signal compression and reconstruction transforms via genetic algorithms. 190-192 - Ang Yang, Hussein A. Abbass, Ruhul A. Sarker:
Evolving agents for network centric warfare. 193-195 - Mark P. Kleeman, Gary B. Lamont:
Solving the aircraft engine maintenance scheduling problem using a multi-objective evolutionary algorithm. 196-198
OBUPM contributions
- Heinz Mühlenbein, Robin Höns:
Approximate factorizations of distributions and the minimum relative entropy principle. 199-211
PSGEA contributions
- Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti:
Parameter sweeps for exploring GP parameters. 212-219 - Alan Piszcz, Terence Soule:
Genetic programming: parametric analysis of structure altering mutation techniques. 220-227 - Fernando G. Lobo, Cláudio F. Lima:
A review of adaptive population sizing schemes in genetic algorithms. 228-234 - Jeff Clune, Sherri Goings, Bill Punch, Eric Goodman:
Investigations in meta-GAs: panaceas or pipe dreams? 235-241
SEEDS contributions
- Michal Bidlo, Lukás Sekanina:
Providing information from the environment for growing electronic circuits through polymorphic gates. 242-248 - Alberto Gallini, Claudio Ferretti, Giancarlo Mauri:
Bio Molecular Engine: a bio-inspired environment for models of growing and evolvable computation. 249-256 - Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen:
Towards an empirical measure of evolvability. 257-264 - John Rieffel, Jordan B. Pollack:
Evolutionary fabrication: the emergence of novel assembly methods in artificial ontogenies. 265-272 - Shivakumar Viswanathan, Jordan B. Pollack:
How artificial ontogenies can retard evolution. 273-280 - Janet Wiles, Nicholas Geard, James E. M. Watson, Kai Willadsen, John S. Mattick, Daniel R. Bradley, Jennifer Hallinan:
There's more to a model than code: understanding and formalizing in silico modeling experience. 281-288 - Michal Bidlo:
A benchmark for the sorting network problem. 289-291
SOEA contributions
- Ivan I. Garibay, Annie S. Wu, Ozlem O. Garibay:
On location independent representations and self-organization. 292 - Ingo Mierswa, Katharina Morik:
Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. 293-300 - Tim Otter:
Genotype, phenotype and ontogeny. 301 - Joseph Lewis, Jamie Lawson:
Behaviorally coupled emergent representation. 302-303 - Sanjeev Kumar:
A developmental genetics-inspired approach to robot control. 304-309
TheoryRep contributions
- Keki M. Burjorjee, Jordan B. Pollack:
Theme preservation and the evolution of representation. 310-320 - Edwin D. de Jong, Richard A. Watson, Dirk Thierens:
A generator for hierarchical problems. 321-326 - Cezary Z. Janikow:
Adaptable representation in GP. 327-331 - Alberto Moraglio, Riccardo Poli:
Topological crossover for the permutation representation. 332-338 - Marc Toussaint:
Factorial representations to generate arbitrary search distributions. 339-345
GWS contributions
- Johan Berntsson:
G2DGA: an adaptive framework for internet-based distributed genetic algorithms. 346-349 - Ian Dempsey:
Constant generation for the financial domain using grammatical evolution. 350-353 - Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson:
Ant colony optimization for power plant maintenance scheduling optimization. 354-357 - Christina Hayes, Tomás Gedeon:
Hyperbolic fixed points are typical in the space of mixing operators for the infinite population genetic algorithm. 358-361 - Ricardo Landa Becerra, Carlos A. Coello Coello:
Use of domain information to improve the performance of an evolutionary algorithm. 362-365 - François-Joseph Lapointe:
Choreogenetics: the generation of choreographic variants through genetic mutations and selection. 366-369 - Katharina Anna Lehmann:
Why simulating evolutionary processes is just as interesting as applying them. 370-373 - Daniele Loiacono, Pier Luca Lanzi:
Improving generalization in the XCSF classifier system using linear least-squares. 374-377 - Hammad Majeed:
A new approach to evaluate GP schema in context. 378-381 - Namrata Khemka, Christian Jacob, Gerald Cole:
Making soccer kicks better: a study in particle swarm optimization. 382-385 - Zbigniew Skolicki:
An analysis of island models in evolutionary computation. 386-389
UGWS contributions
- Aynur Kahraman, H. Aydolu Seven:
Healthy daily meal planner. 390-393 - Ulya R. Karpuzcu:
Automatic verilog code generation through grammatical evolution. 394-397 - Correy Allen Kowall:
Braitenberg simulations as vehicles of evolution. 398-400 - Travis Kriplean:
Evolving an ecology of two-tiered organizations. 402-406 - David E. Suárez, Julián Y. Olarte, Sergio A. Rojas:
Evolving object oriented agent programs in Robocup domain. 407-410 - Vishakh, Nicholas Urrea, Tadashi Nakano, Tatsuya Suda:
A resource-allocation mechanism for multiagent networks. 411-414
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