Algorithm Research & Explore
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2639-2645

Collaborative optimization of IPPS and multi-source energy supply based on novel multi-verse optimizer algorithm

Dong Jun1
Ye Chunming2
1. Business School, Henan Institute of Technology, Xinxiang Henan 453003, China
2. Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

To promote the green transformation and development of manufacturing enterprises, and aiming at the collaborative optimization of IPPS and multi-source energy supply, this paper proposed a novel multi-verse optimization algorithm. Through the improved operations of embedding the sub-population fusion initialization strategy, the NSGA-Ⅱ mutation strategy and the disturbance strategy of external files, the algorithm expanded the individual population diversity, developed new search ranges, also improved the optimization performance and the quality of Pareto solutions. The multi-energy consumption comparative experiments verified the multi-source energy supply system could effectively improve the proportion of renewable energy consumption and help the manufacturing enterprises achieve the goal of energy conservation and emission reduction. The algorithms comparison experiments show the effectiveness, feasibility and competitiveness of the novel multi-verse optimization algorithm for solving the problem of IPPS and multi-source energy supply collaborative optimization for manufacturing enterprises.

Foundation Support

国家自然科学基金资助项目(71840003)
河南省软科学研究计划项目(232400411101)
河南工学院博士科研启动项目(KQ2106)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0033
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2639-2645
Serial Number: 1001-3695(2023)09-012-2639-07

Publish History

[2023-04-19] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

董君, 叶春明. 基于新型多元宇宙优化算法的IPPS与多源供能协同优化 [J]. 计算机应用研究, 2023, 40 (9): 2639-2645. (Dong Jun, Ye Chunming. Collaborative optimization of IPPS and multi-source energy supply based on novel multi-verse optimizer algorithm [J]. Application Research of Computers, 2023, 40 (9): 2639-2645. )

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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