Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract)

被引:0
|
作者
Liang, Jiaxin [1 ]
Zhou, Junping [1 ]
Yin, Minghao [1 ,2 ]
机构
[1] Northeast Normal Univ, Sch Informat Sci & Technol, Changchun, Peoples R China
[2] Northeast Normal Univ, Key Lab Appl Stat MOE, Changchun, Peoples R China
来源
THIRTY-EIGTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 21 | 2024年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Diversified Top-k MaxSAT (DTKMS) problem is an extension of MaxSAT. The objective of DTKMS is to find k feasible assignments of a given formula, such that each assignment satisfies all hard clauses and the k assignments together satisfy the maximum number of soft clauses. This paper presents a local search algorithm, DTKMS-DIA, which incorporates a new approach to generating initial assignments. Experimental results indicate that DTKMS-DIA can achieve attractive performance on 826 instances compared with state-of-the-art solvers.
引用
收藏
页码:23561 / 23562
页数:2
相关论文
共 7 条
  • [1] Solving diversified top-k weight clique search problem
    Junping Zhou
    Chumin Li
    Yupeng Zhou
    Mingyang Li
    Lili Liang
    Jianan Wang
    Science China Information Sciences, 2021, 64
  • [2] Solving diversified top-k weight clique search problem
    Junping ZHOU
    Chumin LI
    Yupeng ZHOU
    Mingyang LI
    Lili LIANG
    Jianan WANG
    Science China(Information Sciences), 2021, 64 (05) : 47 - 48
  • [3] Solving diversified top-k weight clique search problem
    Zhou, Junping
    Li, Chumin
    Zhou, Yupeng
    Li, Mingyang
    Liang, Lili
    Wang, Jianan
    SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (05)
  • [4] Local Search for Diversified Top-k s-plex Search Problem (Student Abstract)
    Wu, Jun
    Yin, Minghao
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 15929 - 15930
  • [5] A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract)
    Wu, Jun
    Yin, Minghao
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 13083 - 13084
  • [6] On solving simplified diversified top-k s-plex problem
    Wu, Jun
    Li, Chu-Min
    Wang, Luzhi
    Hu, Shuli
    Zhao, Peng
    Yin, Minghao
    COMPUTERS & OPERATIONS RESEARCH, 2023, 153
  • [7] A Restart Local Search for Solving Diversified Top-k Weight Clique Search Problem
    Wu, Jun
    Yin, Minghao
    MATHEMATICS, 2021, 9 (21)