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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 6
1784-1793

Neighborhood variant chimp multipeak optimization algorithm and its application

Qi Mingjun1
Wang Zhibao2
1. Dept. of Public Base Education, Hebi Polytechnic, Hebi Henan 458030, China
2. School of Computer & Information Technology, Northeast Petroleum University, Daqing Heilongjiang 163318, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0419

Abstract

In order to solve multipeak optimization problem, it requires as many global optimal solutions as possible and high precision, the algorithm is required to coordinate the diversity and convergence of the population and also have strong global search capability. Therefore, this paper proposed neighborhood variant chimp multipeak optimization algorithm. It included three innovative points. Multivariant neighborhood oriented guidance mechanism could increase population diversity by random variation and the best position variation could gradually locate the global optimal solution within different subgroups, thus avoiding individuals falling into local optima. Global forward vector perturbation mechanism utilized the storage of more potential evolutionary directions for the current individuals during the evolution process, and generated new offspring in directions, enabled the population to gradually converge towards the global optimal solution, improved its solution accuracy. Mechanism of parameters dynamic adjustment effectively reduced the sensitivity of the algorithm to parameters. Finally, typical test functions were used for validation. Simulation result shows algorithm performs well in various test functions, can effectively handle complex multipeak optimization problems.

Foundation Support

国家自然科学基金资助项目(50138110)
河南省重点研发与推广专项科技攻关项目(242102210054)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0419
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 6
Section: Algorithm Research & Explore
Pages: 1784-1793
Serial Number: 1001-3695(2025)06-025-1784-10

Publish History

[2025-03-06] Accepted Paper
[2025-06-05] Printed Article

Cite This Article

齐名军, 王志宝. 邻域变异的黑猩猩多峰优化算法 [J]. 计算机应用研究, 2025, 42 (6): 1784-1793. (Qi Mingjun, Wang Zhibao. Neighborhood variant chimp multipeak optimization algorithm and its application [J]. Application Research of Computers, 2025, 42 (6): 1784-1793. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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