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A Packing Genetic Algorithm for Configuration Design

[+] Author Affiliations
Yi Miao, Georges M. Fadel

Clemson University, Clemson, SC

Paper No. DETC2005-85479, pp. 555-564; 10 pages
  • ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 31st Design Automation Conference, Parts A and B
  • Long Beach, California, USA, September 24–28, 2005
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4739-X | eISBN: 0-7918-3766-1
  • Copyright © 2005 by ASME


Solving packing problems corresponds to finding the optimal placement of a series of objects in an enclosed space, while satisfying functional requirements. The research presented in this paper proposes a “packing GA” designed especially for the packing problems. It differs from the traditional GA by its encoding method and GA operators, which are tailored for the configuration design problem. In this paper, the detailed implementation and the design principles of the packing GA are presented. To evaluate the effectiveness of the proposed algorithm, a strict definition of acceptable layout is given, so that the performance of the GA can be judged by a more meaningful criterion. The packing GA is tested against two other GAs on an 8 box packing problem. The results show the packing GA has a much better chance to find the global optimum.

Copyright © 2005 by ASME



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