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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 1 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
CEC
2011
IEEE
12 years 7 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
CEC
2003
IEEE
14 years 22 days ago
Comparison of sampling sizes for the co-evolution of cooperative agents
Abstract -_The evolution of a heterogeneousteam behavior can he a very demanding task. In order to promote the greatest level of specialization team members should be evolved in se...
Gary B. Parker, H. Joseph Blumenthal
ALIFE
2005
13 years 7 months ago
Material Representations: From the Genetic Code to the Evolution of Cellular Automata
We present a new definition of the concept of representation for cognitive science that is based on a study of the origin of structures that are used to store memory in evolving sy...
Luis Mateus Rocha, Wim Hordijk