期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：62
期号：3
出版社：Journal of Theoretical and Applied
摘要：Crossover and mutation operators are the only operators that change the values of the loci in genetic algorithm. New solution would be generated using this two operators and with the aid of selection operators the search will be directed towards the promising solutions. The resulted solutions of these operators are highly dependent on their parameters. Crossover operators take two parent solutions as input and create two new offspring solutions which will be resulted from mixing the parent solutions. Mutation operator however, is a unary operator that takes a solution and randomly change the values of some of the loci. The resulted offspring would have different distances from their original parents. In this research the distance of the parent solution and their offspring will be studied. It has been shown that mutation operator could reduce the distance between parent and the off-springs.
