Multi-objective genetic algorithms for pipe arrangement design

Satoshi Ikehira; Hajime Kimura

doi:10.1145/1143997.1144304

Multi-objective genetic algorithms for pipe arrangement design

Satoshi Ikehira, Hajime Kimura

Ship and Marine Dynamics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	GECCO 2006 - Genetic and Evolutionary Computation Conference
Publisher	Association for Computing Machinery (ACM)
Pages	1869-1870
Number of pages	2
ISBN (Print)	1595931864, 9781595931863
DOIs	https://doi.org/10.1145/1143997.1144304
Publication status	Published - 2006
Event	8th Annual Genetic and Evolutionary Computation Conference 2006 - Seattle, WA, United States Duration: Jul 8 2006 → Jul 12 2006

Publication series

Name	GECCO 2006 - Genetic and Evolutionary Computation Conference
Volume	2

Other

Other	8th Annual Genetic and Evolutionary Computation Conference 2006
Country/Territory	United States
City	Seattle, WA
Period	7/8/06 → 7/12/06

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.1145/1143997.1144304

Cite this

Multi-objective genetic algorithms for pipe arrangement design. / Ikehira, Satoshi; Kimura, Hajime.
GECCO 2006 - Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), 2006. p. 1869-1870 (GECCO 2006 - Genetic and Evolutionary Computation Conference; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ikehira, S & Kimura, H 2006, Multi-objective genetic algorithms for pipe arrangement design. in GECCO 2006 - Genetic and Evolutionary Computation Conference. GECCO 2006 - Genetic and Evolutionary Computation Conference, vol. 2, Association for Computing Machinery (ACM), pp. 1869-1870, 8th Annual Genetic and Evolutionary Computation Conference 2006, Seattle, WA, United States, 7/8/06. https://doi.org/10.1145/1143997.1144304

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AB - 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.

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Multi-objective genetic algorithms for pipe arrangement design

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