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Algorithm Research & Explore
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2268-2272

Optimizing Picat method for calculating slater voting winners

Ao Huan1a,1b
Wang Yisong1a,1b
Feng Renyan1a,1b
Deng Zhouhui2
Tong Tianle3
1. a. School of Computer Science & Technology, b. Institute of Artificial Intelligence, Guizhou University, Guiyang 550025, China
2. Kechuang Industrial Development Co. Ltd. , Guiyang 550025, China
3. Guizhou Donkey Technologies Co. Ltd. , Guiyang 550025, China

Abstract

The slater voting rule is a tournament-based voting rule. It mainly constructs a ringless tournament, finds the one with the smallest difference from the original tournament, and selects the winner from it. Aiming at the NP-hard slater voting algorithm, this paper proposed a Picat method to solve the slater problem based on the optimization of similar candidate item sets. Compared with the non-optimized Picat method for solving the slater problem, this method reduced the solution space of the slater algorithm, effectively reduced the amount of calculation for solving the slater winner, and improved the calculation speed. The experimental results show that the computational speed of the optimized Picat method for solving the slater problem is better than that of the non-optimized. When the number of candidates is less than 20, the computational speed and computing power of the answer set program(ASP) method for solving the slater problem are better than those of the optimized Picat method, but when the number of candidates exceeds 30, the optimized Picat method(with a satisfiable problem solver) outperforms the ASP method in terms of computational speed and computational power.

Foundation Support

国家自然科学基金资助项目(61976065,U1836205)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0013
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2268-2272
Serial Number: 1001-3695(2022)08-004-2268-05

Publish History

[2022-03-18] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

敖欢, 王以松, 冯仁艳, 等. 优化计算slater投票获胜者的Picat方法 [J]. 计算机应用研究, 2022, 39 (8): 2268-2272. (Ao Huan, Wang Yisong, Feng Renyan, et al. Optimizing Picat method for calculating slater voting winners [J]. Application Research of Computers, 2022, 39 (8): 2268-2272. )

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.

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