DOI : https://doi.org/10.18517/ijaseit.6.5.868

A Survey on Adaptation Strategies for Mutation and Crossover Rates of Differential Evolution Algorithm

Dhanya M Dhanalakshmy (1), Pranav P (2), Gurusamy Jeyakumar (3)
(1) Amrita Vishwa Vidyapeetham Universtiy
(2) Amrita Vishwa Vidyapeetham Universtiy
(3) Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidya Peetham Amrita University, India
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How to cite (IJASEIT) :
Dhanalakshmy, Dhanya M, et al. “A Survey on Adaptation Strategies for Mutation and Crossover Rates of Differential Evolution Algorithm”. International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 5, Oct. 2016, pp. 613-2, doi:10.18517/ijaseit.6.5.868.
Citation Format :
Differential Evolution (DE), the well-known optimization algorithm, is a tool under the roof of Evolutionary Algorithms (EAs) for solving non-linear and non-differential optimization problems. DE has many qualities in its hand, which are attributing to its popularity. DE also is known for its simplicity in solving the given problem with few control parameters: the population size (NP), the mutation rate (F) and the crossover rate (Cr). To avoid the difficulty involved in setting of suitable values for NP, F and Cr many parameter adaptation strategies are proposed in the literature. This paper is to present the working principle of the parameter adaptation strategies of F and Cr. The adaptation strategies are categorized based on the logic used by the authors, and clear insights about all the categories are presented.
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