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» A New Crossover Operator for Genetic Algorithms
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EC
2000
171views ECommerce» more  EC 2000»
13 years 7 months ago
Building Blocks, Cohort Genetic Algorithms, and Hyperplane-Defined Functions
Building blocks are a ubiquitous feature at all levels of human understanding, from perception through science and innovation. Genetic algorithms are designed to exploit this prev...
John H. Holland
KES
1998
Springer
13 years 12 months ago
On the effect of multi-parents recombination in binary coded genetic algorithms
Abstract--Recombination operator plays a very important role in genetic algorithms. In this paper, we present binary coded genetic algorithms in which more than two parents are inv...
Shigeyoshi Tsutsui, Lakhmi C. Jain
GECCO
2003
Springer
119views Optimization» more  GECCO 2003»
14 years 25 days ago
Schema Analysis of Average Fitness in Multiplicative Landscape
By applying the schema theorem, we study the effects of crossover in Genetic Algorithms with the multiplicative fitness function. On this landscape, the analytical expression of ...
Hiroshi Furutani
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 2 months ago
Approximating geometric crossover in semantic space
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
Krzysztof Krawiec, Pawel Lichocki
DAGSTUHL
2006
13 years 9 months ago
On Complexity of Optimized Crossover for Binary Representations
We consider the computational complexity of producing the best possible offspring in a crossover, given two solutions of the parents. The crossover operators are studied on the cla...
Anton V. Eremeev