Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 5
1394-1401

Two efficient local search algorithms for solving RB model examples

Yang Yia
Wang Xiaofenga,b
Tang Aoa
Peng Qingyuana
Yang Lana
Pang Lichaoa
a. School of Computer Science & Engineering, b. Key Laboratory of Image & Graphics Intelligent Processing of State Ethnic Affairs Commission, North Minzu University, Yinchuan 750021, China
DOI: 10.19734/j.issn.1001-3695.2023.09.0415

Abstract

The RB(revised B) model is a stochastic instance model with an accurate phase change growth domain in constraint-satisfiable problems. This paper proposed two efficient heuristic local search algorithms to solve the large-value domain constraints generated by the RB model. The first is the W-MCH algorithm based on weight-guided search. This algorithm searched through constraint judgment and constraint violation score, and introduced a weight calculation formula based on constraint violation probability, which was modified according to its associated constraint weight, and iteratively adjusted then variables. Then it proposed the MDMCH algorithm for minimizing the value range, this algorithm reduced the search space by recording the heuristic strategy of constraint violations and gradually eliminating the violated constraint variables, and recalibrated the variable assignments within the minimized variable domain, thereby effectively improving the algorithm's convergence speed. In addition, it also proposed the WSCH and MDSCH algorithms that incorporate simulated annealing strategies. Both algorithms can perform targeted searches in the variable domain based on the characterization characteristics of the variables. Experimental results show that compared with various heuristic algorithms, these two algorithms have significantly improved accuracy and time efficiency, and can provide efficient solution efficiency in complex and difficult instances, verifying the effectiveness and superiority of the algorithms.

Foundation Support

国家自然科学基金资助项目(62062001)
宁夏青年拔尖人才资助项目(2021)
北方民族大学研究生创新项目(YCX23145)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0415
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Algorithm Research & Explore
Pages: 1394-1401
Serial Number: 1001-3695(2024)05-017-1394-08

Publish History

[2023-12-01] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

杨易, 王晓峰, 唐傲, 等. 两种高效局部搜索算法求解RB模型实例 [J]. 计算机应用研究, 2024, 41 (5): 1394-1401. (Yang Yi, Wang Xiaofeng, Tang Ao, et al. Two efficient local search algorithms for solving RB model examples [J]. Application Research of Computers, 2024, 41 (5): 1394-1401. )

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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