Crossover and mutation operators of real coded genetic algorithms for global optimization problems

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Crossover and mutation operators of real coded genetic algorithms for global optimization problems

This study is primarily aimed at investigating two issues in genetic algorithm (GA) and one issue in conformational search (CS) problems. First and foremost, this study examines the proposed crossover and mutation operators on the problems of slow convergence and premature convergence to suboptim...

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Bibliographic Details
Main Author:	Lim, Siew Mooi
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Genetic algorithms Mathematical optimization
Online Access:	http://psasir.upm.edu.my/id/eprint/69322/ http://psasir.upm.edu.my/id/eprint/69322/1/FSKTM%202016%2010%20IR.pdf

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