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Algorithm Research & Explore
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85-88,117

Many-objective evolutionary algorithm based on fitness function and multi-search strategy

Dai Cai
Shi Xiaoqi
College of Computer Science, Shaanxi Normal University, Xi'an 710119, China

Abstract

This paper designed a many-objective evolutionary algorithm based on fitness function and multi-search strategy to improve the performance of many-objective evolutionary algorithms. The algorithm proposed a new fitness function to balance the convergence and diversity, and proposed a multi-search strategy to help crossover operators to generate good offspring. The fitness function firstly selected better convergent solutions from the current population and offspring, then calculated the spar-sity of these convergent solutions. The multi-search strategy made sparse and convergent solutions to be selected to carry out the exploration and exploitation. Experiments were conducted on fifteen benchmark functions with 5, 10, 15 objectives of CEC2018. The results indicate that the proposed algorithm can find a set of solutions with better diversity and convergence than four efficient state-of-the-art algorithms(e. g. NSGAIII, MOEA/DD, KnEA, RVEA).

Foundation Support

国家自然科学基金资助项目(61502290,61401263,61672334/61673251)
中国博士后基金资助项目(2015M582606)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0485
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 85-88,117
Serial Number: 1001-3695(2020)01-018-0085-04

Publish History

[2020-01-05] Printed Article

Cite This Article

代才, 石晓琪. 基于新的适应度函数和多搜索策略的高维多目标进化算法 [J]. 计算机应用研究, 2020, 37 (1): 85-88,117. (Dai Cai, Shi Xiaoqi. Many-objective evolutionary algorithm based on fitness function and multi-search strategy [J]. Application Research of Computers, 2020, 37 (1): 85-88,117. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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