Differential Evolution: A review of more than two decades of research

被引:427
作者
Bilal [1 ]
Pant, Millie [1 ]
Zaheer, Hira [2 ]
Garcia-Hernandez, Laura [3 ]
Abraham, Ajith [4 ]
机构
[1] Indian Inst Technol, Dept Appl Sci & Engn, Roorkee 247667, Uttar Pradesh, India
[2] Jamia Millia Islamia, Dept Math, New Delhi 110025, India
[3] Univ Cordoba, Area Project Engn, Cordoba, Spain
[4] Sci Network Innovat & Res Excellence, Machine Intelligence Res Labs MIR Labs, Auburn, WA 98071 USA
关键词
Meta-heuristics; Differential evolution; Mutation; Crossover; Selection; POPULATION INITIALIZATION METHOD; BIOGEOGRAPHY-BASED OPTIMIZATION; REAL-PARAMETER OPTIMIZATION; PARTICLE SWARM OPTIMIZATION; EIGENVECTOR-BASED CROSSOVER; ARTIFICIAL BEE COLONY; GLOBAL OPTIMIZATION; DYNAMIC OPTIMIZATION; DIRECTIONAL MUTATION; CULTURAL ALGORITHM;
D O I
10.1016/j.engappai.2020.103479
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most frequently used algorithms for solving complex optimization problems. Its flexibility and versatility have prompted several customized variants of DE for solving a variety of real life and test problems. The present study, surveys the near 25 years of existence of DE. In this extensive survey, 283 research articles have been covered and the journey of DE is shown through its basic aspects like population generation, mutation schemes, crossover schemes, variation in parameters and hybridized variants along with various successful applications of DE. This study also provides some key bibliometric indicators like highly cited papers having citations more than 500, publication trend since 1996, journal citations etc. The main aim of the present document is to serve as an extended summary of 25 years of existence of DE, intended for dissemination to interested parties. It is expected that the present survey would generate interest among the new users towards the philosophy of DE and would also guide the experience researchers.
引用
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页数:24
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