Multi-objective genetic algorithms for pipe arrangement design

Satoshi Ikehira, Hajime Kimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper presents an automatic design method for piping arrangement. A pipe, arrangement design problem is proposed for a space in which many pipes and objects co-exist. This problem includes large-scale numerical optimization and combinatorial optimization problems, as well as two criteria. For these reasons, it is difficult to optimize the problem using usual optimization techniques such as Random Search. Therefore, multi-objective genetic algorithms suitable for this problem are developed. The proposed method for optimizing a pipe arrangement efficiently is demonstrated through several experiments.

Original languageEnglish
Title of host publicationGECCO 2006 - Genetic and Evolutionary Computation Conference
PublisherAssociation for Computing Machinery (ACM)
Pages1869-1870
Number of pages2
ISBN (Print)1595931864, 9781595931863
DOIs
Publication statusPublished - Jan 1 2006
Event8th Annual Genetic and Evolutionary Computation Conference 2006 - Seattle, WA, United States
Duration: Jul 8 2006Jul 12 2006

Publication series

NameGECCO 2006 - Genetic and Evolutionary Computation Conference
Volume2

Other

Other8th Annual Genetic and Evolutionary Computation Conference 2006
CountryUnited States
CitySeattle, WA
Period7/8/067/12/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Ikehira, S., & Kimura, H. (2006). Multi-objective genetic algorithms for pipe arrangement design. In GECCO 2006 - Genetic and Evolutionary Computation Conference (pp. 1869-1870). (GECCO 2006 - Genetic and Evolutionary Computation Conference; Vol. 2). Association for Computing Machinery (ACM). https://doi.org/10.1145/1143997.1144304