Parameter Settings for New Generational Genetic Algorithms for Solving Global Optimization Problems | Science Publications

Journal of Computer Science

Siew Mooi Lim¹  Abu Bakar Md. Sultan¹  Md. Nasir Sulaiman¹  Norwati Mustapha¹ 

关键词: Genetic Algorithms;    Parameter Settings;    Taguchi Method;   

DOI  :  10.3844/jcssp.2015.1025.1031

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

This study operates within experimental design with two main tools of Taguchi method namely orthogonal array and signal to noise ratio to discover the optimal parameter settings for newly proposed generational genetic algorithms; they are Laplace Crossover-Scale Truncated Pareto Mutation (LX-STPM) and Rayleigh Crossover-Scale Truncated Pareto Mutation (RX-STPM). It concluded that GA parameter settings are algorithms and problems dependent.

【 授权许可】

Unknown