Literature Review on Differential Evolution Algorithm

Authors

Sadeer Fadhil Oudah
PhD Candidate in Operations Research, faculty of graduate studies for statistical research, Cairo University, Egypt.

Prof. Dr. Hegazy Zaher
Professor Doctor in Mathematical statistics, faculty of graduate studies for statistical research, Cairo University, Egypt.

Assoc. Prof. Dr. Naglaa Ragaa Saeid Hassan
Associate Professor in Operations Research, faculty of graduate studies for statistical research, Cairo University, Egypt.

Dr. Eman Oun
Doctor in Operations Research, faculty of graduate studies for statistical research, Cairo University, Egypt.

Abstract

Differential evolution algorithm is one of the most efficient metaheuristic approaches. In this paper, a review and analysis is presented in order to help for future research in differential evolution algorithm. It covers an analysis of about 142 papers of the previous work in the modifications of the algorithm including the main parameters of the classical steps of the algorithm and hybridization with other algorithms. The analysis also shows the applications that optimized using the differential evolution algorithm.
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