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» Adapting Representation in Genetic Programming
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GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
14 years 28 days 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 1 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 9 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
140views Optimization» more  GECCO 2007»
14 years 1 months ago
Program evolvability under environmental variations and neutrality
Biological organisms employ various mechanisms to cope with the dynamic environments they live in. One recent research reported that depending on the rates of environmental variati...
Tina Yu
ASPDAC
1999
ACM
157views Hardware» more  ASPDAC 1999»
13 years 12 months ago
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
Birger Landwehr