Component selection using hybrid optimization algorithms

Utpal Roy, Jianmin Liao

Research output: Contribution to conferencePaper

Abstract

The objective of this paper is to outline a computer-aided component selection methodology that will be available to the systems designer in the conceptual design phase to help him/her realize optimum design solutions. In this study, a modified technique for order preference by similarity to the ideal solution (TOPSIS) has been used first to select a set of components (for a given system layout) among approved lists of manufacturers' catalogs so that all design specifications are satisfied. After generating the initial list of the desired component, some components which are clearly the best in the catalog list, are separated out. A genetic algorithm is then used to successfully select an optimal solution. The proposed hybrid optimization algorithms have been implemented in a tube selection problem and it has been presented in the paper as a case study.

Original languageEnglish (US)
Pages503-508
Number of pages6
StatePublished - Dec 1 1996
EventProceedings of the 1996 5th Industrial Engineering Research Conference - Minneapolis, MN, USA
Duration: May 18 1996May 20 1996

Other

OtherProceedings of the 1996 5th Industrial Engineering Research Conference
CityMinneapolis, MN, USA
Period5/18/965/20/96

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Roy, U., & Liao, J. (1996). Component selection using hybrid optimization algorithms. 503-508. Paper presented at Proceedings of the 1996 5th Industrial Engineering Research Conference, Minneapolis, MN, USA, .