A New Real Coded Genetic Algorithm Operator: Log Logistic Mutation

被引:0
|
作者
Deep, Kusum [1 ]
Shashi [1 ]
Katiyar, V. K. [1 ]
机构
[1] Indian Inst Technol Roorkee, Dept Math, Roorkee, Uttar Pradesh, India
关键词
Real Coded Genetic Algorithm; Mutation Operator; Crossover Operator;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this study, a new mutation operator for real coded genetic algorithms called the Log Logistic Mutation (LLM) is proposed. The performance of LLM is compared with existing real coded mutation operator namely Power Mutation (PM). LLM is used in conjunction with a well known crossover operator; Laplace Crossover (LX), to obtain a new generational real coded genetic algorithm called LX-LLM. LX-LLM is compared with the existing LX-PM. The performance of both the genetic algorithms is compared on the basis of success rate, average function evaluation, average error and computational time, and the supremacy of the proposed mutation operator is established.
引用
收藏
页码:193 / 200
页数:8
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