A Parallel Genetic Algorithm for Three Dimensional Bin Packing with Heterogeneous Bins

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2014 by IJCTT Journal
Volume-17 Number-1
Year of Publication : 2014
Authors : Drona Pratap Chandu
  10.14445/22312803/IJCTT-V17P108

MLA

Drona Pratap Chandu. "A Parallel Genetic Algorithm for Three Dimensional Bin Packing with Heterogeneous Bins". International Journal of Computer Trends and Technology (IJCTT) V17(1):33-38, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
This paper presents a parallel genetic algorithm for three dimensional bin packing with heterogeneous bins using Hadoop Map-Reduce framework. The most common three dimensional bin packing problem which packs given set of boxes into minimum number of equal sized bins is proven to be NP Hard. The variation of three dimensional bin packing problem that allows heterogeneous bin sizes and rotation of boxes is computationally more harder than common three dimensional bin packing problem. The proposed Map-Reduce implementation helps to run the genetic algorithm for three dimensional bin packing with heterogeneous bins on multiple machines parallely and computes the solution in relatively short time.

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Keywords
Genetic algorithm, three dimensional bin packing, map reduce, hadoop.