Algorithm Research & Explore
|
2665-2670

Multi-objective particle swarm algorithm based on rotation basis

Dai Yongbin
Ji Chuanchuan
Kang Weiwei
College of Software, Liaoning University of Technology, Jinzhou Liaoning 121001, China

Abstract

This paper proposed a multi-objective particle swarm algorithm based on rotation basis(rtMOPSO) in order to solve problems about multi-objective optimization. Firstly, it detected Pareto front maps to the improved sectorial plane of rotation basis so that evolutionary status of the population by the entropy and its difference entropy of the population. Then, it proposed angle dominance and strength of angle dominance to design an archive maintaining strategy which could balance diversity and convergence. Finally, it proposed selecting the global best solution based on rotation angle and distance of the rotation basis. It compared the improved algorithm with five multi-objective optimization algorithms on two kinds of test suites. The Simulation results show that improved algorithm has big advantages over the other competitors in terms of diversity and convergence.

Foundation Support

辽宁省自然科学基金资助项目(2013020036)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0138
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Algorithm Research & Explore
Pages: 2665-2670
Serial Number: 1001-3695(2019)09-023-2665-06

Publish History

[2019-09-05] Printed Article

Cite This Article

戴永彬, 纪川川, 康伟伟. 基于旋转基技术的多目标粒子群优化算法 [J]. 计算机应用研究, 2019, 36 (9): 2665-2670. (Dai Yongbin, Ji Chuanchuan, Kang Weiwei. Multi-objective particle swarm algorithm based on rotation basis [J]. Application Research of Computers, 2019, 36 (9): 2665-2670. )

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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