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GECCO
2007
Springer
15 years 3 months ago
2007
Springer
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...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Bloat is a common and well studied problem in genetic programming. Size and depth limits are often used to combat bloat, but to date there has been little detailed explor...
GECCO
2000
Springer
15 years 1 months ago
2000
Springer
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...