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Invited Review Optimal Recombination in Genetic Algorithms for Combinatorial Optimization Problems - Part I
Yugoslav journal of operations research, Tome 24 (2014) no. 1, p. 1 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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This paper surveys results on complexity of the optimal recombination problem (ORP), which consists in finding the best possible offspring as a result of a recombination operator in a genetic algorithm, given two parent solutions. We consider efficient reductions of the ORPs, allowing to establish polynomial solvabil- ity or NP-hardness of the ORPs, as well as direct proofs of hardness results. Part I presents the basic principles of optimal recombination with a survey of results on Boolean Linear Programming Problems. Part II (to appear in a subsequent issue) is devoted to the ORPs for problems which are naturally formulated in terms of search for an optimal permutation.
Classification : 90C59, 90C10.
Keywords: Keywords: Genetic Algorithm, Optimal Recombination Problem, complexity,crossover, Boolean Linear Programming 
@article{YJOR_2014_24_1_a0,
     author = {Anton V. Eremeev and Julia V. Kovalenko},
     title = {Invited {Review} {Optimal} {Recombination} in {Genetic} {Algorithms} for {Combinatorial} {Optimization} {Problems} - {Part} {I}},
     journal = {Yugoslav journal of operations research},
     pages = {1 },
     year = {2014},
     volume = {24},
     number = {1},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2014_24_1_a0/}
}
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Anton V. Eremeev; Julia V. Kovalenko. Invited Review Optimal Recombination in Genetic Algorithms for Combinatorial Optimization Problems - Part I. Yugoslav journal of operations research, Tome 24 (2014) no. 1, p. 1 . http://geodesic.mathdoc.fr/item/YJOR_2014_24_1_a0/