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  • 标题:Solving Three Dimensional Bin Packing Problem Using Elitism Based Genetic Algorithm
  • 本地全文:下载
  • 作者:Pragya Gupta ; Rajesh Tiwari
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2012
  • 卷号:1
  • 期号:4
  • 页码:471-475
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:The bin packing problem is a combinatorial NP-hard problem. In it, objects of different volumes must be packed into a finite number of bins of capacity V in a way that minimizes the number of bins used.Most of the previous approaches have dealt with one-dimensional cases, only a few with two-dimensional problems and it is very rare to find work on three-dimensional bin packing. In this paper a elitism based compact genetic algorithm is presented to solve three-dimensional container loading or bin packing problems. The three dimensional bin packing problem is the problem of orthogonally packing of set of boxes into a minimum of three dimensional bin. This algorithm uses a probability vector to represent the bit probability of 0 and 1 and model the distribution of generation.
  • 关键词:Container loading; compact genetic ; algorithm; elitism
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