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EUROGP
2001
Springer
103views Optimization» more  EUROGP 2001»
14 years 2 months ago
Computational Complexity, Genetic Programming, and Implications
Recent theory work has shown that a Genetic Program (GP) used to produce programs may have output that is bounded above by the GP itself [l]. This paper presents proofs that show t...
Bart Rylander, Terence Soule, James A. Foster
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
14 years 3 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
DEXA
2005
Springer
110views Database» more  DEXA 2005»
14 years 3 months ago
Intensional Encapsulations of Database Subsets via Genetic Programming
Finding intensional encapsulations of database subsets is the inverse of query evaluation. Whereas query evaluation transforms an intensional expression (the query) to its extensi...
Aybar C. Acar, Amihai Motro
EMO
2006
Springer
120views Optimization» more  EMO 2006»
13 years 11 months ago
Rule Induction for Classification Using Multi-objective Genetic Programming
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
Alan P. Reynolds, Beatriz de la Iglesia
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 4 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