Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems

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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems

A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. Most of the current methods of crossover determine o®spring by using a stochastic approach and without reference to the objective funct...

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Bibliographic Details
Main Author:	Nazif, Habibeh
Format:	Thesis
Language:	English English
Published:	2010
Subjects:	Genetic algorithms Combinatorial optimization
Online Access:	http://psasir.upm.edu.my/id/eprint/21097/ http://psasir.upm.edu.my/id/eprint/21097/1/FS_2010_53_IR.pdf

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