MEDAL Gathering on Evolutionary ComputationMonday, July 24, 2006 302 CCB, University of Missouri in St. Louis
MEDAL Gathering on Evolutionary Computation is organized by the Missouri Estimation of Distribution Algorithms Laboratory (MEDAL), which has recently been opened at the University of Missouri in St. Louis. The goal of this gathering is to discuss important lines of research in evolutionary computation and outline areas for collaboration of MEDAL with other institutions. The main focus is on the the design, enhancement, analysis, and applications of evolutionary algorithms and learning classifier systems.
Time and Place
Martin Pelikan (Missouri Estimation of Distribution Algorithms Lab (MEDAL), St. Louis, MO)|
Quo Vadis MEDAL: Current and Planned Projects at MEDAL
Kenneth P. Turvey (Missouri Estimation of Distribution Algorithms Lab (MEDAL), St. Louis, MO)|
XCS in Dynamic Environments
Kumara Sastry (Illinois Genetic Algorithms Lab (IlliGAL), Urbana, IL)|
Efficiency Enhancement of Estimation of Distribution Algorithms
David E. Goldberg (Illinois Genetic Algorithms Lab (IlliGAL), Urbana, IL)
Little Models, Big Results
Cezary Janikow (University of Missouri, St. Louis, MO)|
Representations and Heuristics in GP
Moshe Looks (Washington University, St. Louis, MO)
Ben Goertzel (Novamente LLC)|
Towards Competent Genetic Programming - What are the Missing Ingredients?
Shigeyoshi Tsutsui (Hannan University, Matabara, Osaka, Japan)
Node Histogram vs. Edge Histogram:A Comparison of PMBGAs in Permutation Domains
Mark Jakiela (Washington University, St. Louis, MO)
Open collaborative design of tangible artifacts - simulation and optimization?
David E. Goldberg
Mark J. Jakiela
Cezary Z. Janikow
Ronald P. Loui
Kenneth P. Turvey
We would like to thank the Illinois Genetic Algorithms Laboratory for help with organizing this event and support. We also thank all participants for contributing to this workshop. This event is supported by the National Science Foundation under CAREER grant ECS-0547013, the Air Force Office of Scientific Research, Air Force Materiel Command, USAF, under grant FA9550-06-1-0096, and the University of Missouri in St. Louis through the High Performance Computing Collaboratory sponsored by Information Technology Services.