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» A New Crossover Operator for Genetic Algorithms
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ICGA
1993
157views Optimization» more  ICGA 1993»
13 years 9 months ago
Optimal Interaction of Mutation and Crossover in the Breeder Genetic Algorithm
The dynamic behavior of mutation and crossover is investigated with the Breeder Genetic Algorithm. The main emphasis is on binary functions. The genetic operators are compared nea...
Heinz Mühlenbein, Dirk Schlierkamp-Voosen
EUROGP
2005
Springer
107views Optimization» more  EUROGP 2005»
14 years 1 months ago
Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
Steven M. Gustafson, Leonardo Vanneschi
JCP
2008
92views more  JCP 2008»
13 years 7 months ago
A Hierarchical Gene-Set Genetic Algorithm
In this paper, gene sets, instead of individual genes, are used in the genetic process to speed up convergence. A gene-set mutation operator is proposed, which can make several nei...
Tzung-Pei Hong, Min-Thai Wu
CEC
2008
IEEE
14 years 2 months ago
Crossover operators to control size growth in linear GP and variable length GAs
— In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhibit large degrees of redundancy and corresponding undue growth. This phenomen...
Dominique Chu, Jonathan E. Rowe
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 8 months ago
CrossNet: a framework for crossover with network-based chromosomal representations
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...
Forrest Stonedahl, William Rand, Uri Wilensky