文章基本信息

标题：DETERMINING MAXIMUM/MINIMUM VALUES FOR TWO-DIMENTIONAL MATHMATICLE FUNCTIONS USING RANDOM CREOSSOVER TECHNIQUES
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作者：SHIHADEH ALQRAINY
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：65
期号：3
出版社：Journal of Theoretical and Applied
摘要：This paper presents a solution to determining the maximum/minimum values for two-dimensional mathematical functions using the three most popular crossover techniques (Single point, Two point and cut and splice) randomly in genetic algorithm. A set of experiments were ran over 20 complex functions, the obtained results show that using random crossover techniques tends to be worst compared with traditional genetic algorithm that uses specific crossover method such as single point crossover.
关键词：Genetic Algorithm; Machine Learning; Heuristic Search. Crossover Methods