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Crossover (genetic algorithm)

Known as: Crossover, Recombination (genetic algorithm) 
In genetic algorithms, crossover is a genetic operator used to vary the programming of a chromosome or chromosomes from one generation to the next… 
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Related topics

Related topics

23 relations
Chromosome (genetic algorithm)Computer-automated designConvergence (evolutionary computing)Defining length

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Self-configuring Genetic Algorithm with Modified Uniform Crossover Operator
For genetic algorithms, new variants of the uniform crossover operator that introduce selective pressure on the recombination… 
Highly Cited
2009
Highly Cited
2009
Auger recombination rates in nitrides from first principles
We report Auger recombination rates for wurtzite InGaN calculated from first-principles density-functional and many-body… 
Highly Cited
2009
Highly Cited
2009
Bimolecular Crystals of Fullerenes in Conjugated Polymers and the Implications of Molecular Mixing for Solar Cells
The performance of polymer:fullerene bulk heterojunction solar cells is heavily influenced by the interpenetrating nanostructure… 
Highly Cited
2004
Highly Cited
2004
Topological Interpretation of Crossover
In this paper we give a representation-independent topological defi- nition of crossover that links it tightly to the notion of… 
Highly Cited
2002
Highly Cited
2002
The self-adaptive Pareto differential evolution algorithm
  • H. Abbass
  • Proceedings of the Congress on Evolutionary…
  • 2002
  • Corpus ID: 7223440
The Pareto differential evolution (PDE) algorithm was introduced and showed competitive results. The behavior of PDE, as in many… 
Highly Cited
2000
Highly Cited
2000
Fitness landscape analysis and memetic algorithms for the quadratic assignment problem
In this paper, a fitness landscape analysis for several instances of the quadratic assignment problem (QAP) is performed, and the… 
Highly Cited
1999
Highly Cited
1999
A genetic algorithm approach to piping route path planning
A genetic algorithm (GA) approach to support interactive planning of a piping route path in plant layout design is presented. To… 
Highly Cited
1996
Highly Cited
1996
GENETIC ALGORITHMS AND OPTIMIZING CHEMICAL OXYGEN-IODINE LASERS
This paper presents results from the first known application of the genetic algorithm (GA) technique for optimizing the… 
Highly Cited
1993
Highly Cited
1993
The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA)
The breeder genetic algorithm (BGA) models artificial selection as performed by human breeders. The science of breeding is based… 
Highly Cited
1985
Highly Cited
1985
An updated evaluation of recombination and ionization rates
Nouvelle evaluation des taux d'ionisation et de recombinaison par collision electronique des elements abondants en astrophysique 
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