Algorithm Research & Explore
|
2604-2608

Immune-based memetic algorithm for dynamic optimization problems

Yang Zhou1
Yuan Yichuan1
Luo Tingxing2
Qin Jin1
1. College of Computer Science & Technology, Guizhou University, Guiyang 550025, China
2. Guiyang Information Industry Development Center, Guiyang 550081, China

Abstract

The traditional immune network optimization algorithm had the shortcomings of weak local searching ability, low precision and premature convergence. In order to improve the algorithm performance, this paper proposed an artificial-immune-network-based memetic algorithm for dynamic optimization problems. Based on the framework of memetic algorithm, an artificial immune network algorithm served as the global search algorithm, and a tabu search algorithm served as the local search operator. At the same time, the algorithm introduced the Cauchy variation to improve global searching ability and prevent premature convergence. The experimental results show that the improved algorithm has better search precision and convergence speed compared with other algorithms.

Foundation Support

国家自然科学基金资助项目(61562009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0165
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Algorithm Research & Explore
Pages: 2604-2608
Serial Number: 1001-3695(2019)09-010-2604-05

Publish History

[2019-09-05] Printed Article

Cite This Article

杨洲, 袁亦川, 罗廷兴, 等. 一种求解动态优化问题的免疫文化基因算法 [J]. 计算机应用研究, 2019, 36 (9): 2604-2608. (Yang Zhou, Yuan Yichuan, Luo Tingxing, et al. Immune-based memetic algorithm for dynamic optimization problems [J]. Application Research of Computers, 2019, 36 (9): 2604-2608. )

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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