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, S. 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, A. 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 Watson, Kai Willadsen, John Mattick, Daniel 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

last updated on Fri May 24 03:07:29 2013 by the dblp team
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