skip to main content
10.1145/1569901.1569942acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
research-article

A hybrid genetic algorithm for a variant of two-dimensional packing problem

Published:08 July 2009Publication History

ABSTRACT

A variant of two-dimensional packing problem was given in the GECCO'2008 competition. This paper describes the genetic algorithm that produced the best result and thus won the No. 1 prize. As the problem is naturally represented by a two-dimensional chromosome, two-dimensional crossovers are used to generate more diverse chromosomes and effectively maintain geographical linkage among genes. We developed a local search heuristic based on the breadth-first search algorithm; we describe how to implement the heuristic efficiently using problem-specific knowledge. The local search was combined with a steady-state genetic algorithm and the combination showed strong synergy.

References

  1. C. A. Anderson, K. F. Jones, and J. Ryan. A two-dimensional genetic algorithm for the Ising problem. Complex Systems, 5:327--333, 1991.Google ScholarGoogle Scholar
  2. T. N. Bui and B.-R. Moon. On multi-dimensional encoding/crossover. In Sixth International Conference on Genetic Algorithms, pages 49--56, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. P. Cohoon and W. Paris. Genetic placement. In IEEE International Conference on Computer-Aided Design, pages 422--425, 1986.Google ScholarGoogle Scholar
  4. C.-H. Im, H.-K. Jung, and Y.-J. Kim. Hybrid genetic algorithm for electromagnetic topology optimization. IEEE Transactions on Magnetics, 39(5): 2163--2169, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. B. Kahng and B.-R. Moon. Toward more powerful recombinations. In Sixth International Conference on Genetic Algorithms, pages 96--103, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. B.-R. Moon, Y.-S. Lee, and C.-K. Kim. GEORG: VLSI circuit partitioner with a new genetic algorithm framework. Journal of Intelligent Manufacturing, 9(5):401--412, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  7. E.-J. Park, Y.-H. Kim, and B.-R. Moon. Genetic search for fixed channel assignment problem with limited bandwidth. In Genetic and Evolutionary Computation Conference, pages 1172--1179, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. G. Syswerda. Uniform crossover in genetic algorithms. In Third International Conference on Genetic Algorithms, pages 2--9, 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A hybrid genetic algorithm for a variant of two-dimensional packing problem

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation
        July 2009
        2036 pages
        ISBN:9781605583259
        DOI:10.1145/1569901

        Copyright © 2009 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 July 2009

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate1,669of4,410submissions,38%

        Upcoming Conference

        GECCO '24
        Genetic and Evolutionary Computation Conference
        July 14 - 18, 2024
        Melbourne , VIC , Australia

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader