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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 3 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
ECAL
2005
Springer
15 years 3 months ago
On the Unit of Selection in Sexual Populations
Evolution by natural selection is a process of variation and selection acting on replicating units. These units are often assumed to be individuals, but in a sexual population, the...
Richard A. Watson
GECCO
2004
Springer
15 years 3 months ago
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, A...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 3 months ago
A Multi-objective Approach to Configuring Embedded System Architectures
Portable embedded systems are being driven by consumer demands to be thermally efficient, perform faster, and have longer battery life. To design such a system, various hardware un...
James Northern III, Michael A. Shanblatt
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
15 years 2 months ago
Limits in Long Path Learning with XCS
The development of the XCS Learning Classifier System [26] has produced a stable implementation, able to consistently identify the accurate and optimally general population of cla...
Alwyn Barry