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文章基本信息

  • 标题:A Monte Carlo Iterative Optimization Algorithm for Integer Linear Programming Problems
  • 本地全文:下载
  • 作者:Takeshi Tengan ; Takeo Yoshida ; Morikazu Nakamura
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2018
  • 卷号:18
  • 期号:11
  • 页码:60-67
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:In this paper, we present a new optimization technique for integer linear programming problems. The proposed method is a metaheuristic algorithm and improves solutions by iterating the problem reduction and solving the reduced problem. The algorithm is a hybrid approach in which we use a Metropolis-Hastings algorithm and an exact solver and has a good characteristic such that the reduced problem at each iteration has better or equal quality feasible solutions. The experimental evaluation shows that our method can obtain a good quality of solutions within reasonable execution time for hard problems specified in MIPLIB2010.
  • 关键词:Integer Programming; Iterative Optimization; Problem Reduction; Monte Carlo Method; Metaheuristics
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