Mixed mutation strategy embedded differential evolution

Authors:
Millie Pant;Musrrat Ali;Ajith Abraham
Affiliations:
Indian Institute of Technology Roorkee, Saharanpur, India;Indian Institute of Technology Roorkee, Saharanpur, India;Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Norway and Machine Intelligence Research Labs
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution have used a single mutation operator. Using a variety of mutation operators that can be integrated during evolution could hold the potential to generate a better solution with less computational effort. In view of this, in this paper a mixed mutation strategy which uses the concept of evolutionary game theory is proposed to integrate basic differential evolution mutation and quadratic interpolation to generate a new solution. Throughout of this paper we refer this new algorithm as, differential evolution with mixed mutation strategy (MSDE). The performance of proposed algorithm is investigated and compared with basic differential evolution. The experiments conducted shows that proposed algorithm outperform the basic DE algorithm in all the benchmark problems.