首页    期刊浏览 2025年05月24日 星期六
登录注册

文章基本信息

  • 标题:A Parallel Nash Genetic Algorithm for the 3D Orthogonal Knapsack Problem
  • 本地全文:下载
  • 作者:Daniel Soto ; Wilson Soto ; Yoan Pinzón
  • 期刊名称:International Journal of Combinatorial Optimization Problems and Informatics
  • 印刷版ISSN:2007-1558
  • 电子版ISSN:2007-1558
  • 出版年度:2013
  • 卷号:4
  • 期号:3
  • 页码:2-10
  • 语种:English
  • 出版社:International Journal of Combinatorial Optimization Problems and Informatics
  • 其他摘要:The Three-Dimensional Knapsack Packing Problem consists of finding the maximum profit for packing a subset of boxes in a larger box (packing box). The boxes to pack are rectangular but of different sizes. This problem is a variant of the Knapsack Problem and therefore its computational complexity is NP-Complete. This article shows a parallel genetic algorithm based on the Island Model and the Nash equilibrium theory for solving the 3D Knapsack Packing Problem assuming both, orthogonally packing and rotation prevention. Computational experiments comparing the developed algorithm with previous approach indicate that the results are very hopeful for three-dimensional problem.
  • 关键词:Genetic Algorithms; Island Model; Knapsack Problem; Nash Equilibrium theory
国家哲学社会科学文献中心版权所有