A new real coded genetic algorithm operator: Log logistic mutation

Abstract

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. © 2012 Springer India Pvt. Ltd.