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» Genetic algorithms with multi-parent recombination
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108
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GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
15 years 4 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
101
Voted
RECOMB
2008
Springer
15 years 12 months ago
A Phylogenetic Approach to Genetic Map Refinement
Following various genetic mapping techniques conducted on different segregating populations, one or more genetic maps are obtained for a given species. However, recombination analy...
Denis Bertrand, Mathieu Blanchette, Nadia El-Mabro...
EC
2006
163views ECommerce» more  EC 2006»
14 years 11 months ago
An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms
The frequency with which various elements of the search space of a given evolutionary algorithm are sampled is affected by the family of recombination (reproduction) operators. Th...
Boris Mitavskiy, Jonathan E. Rowe
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 4 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
107
Voted
AE
2005
Springer
15 years 5 months ago
Size Control with Maximum Homologous Crossover
Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Programming, tend to produce too long solutions and the recombination operator used is often co...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...