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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 931-932Identifying Optimum Parameter Setting for Layout...

Identifying Optimum Parameter Setting for Layout Design via Experimental Design and Analysis

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Abstract:

The performance of finding an optimal solution is always a crucial engineering research topic. Quality of solutions obtained depends on the algorithm and its parameter settings applied to solve a problem. Machine layout design (MLD) problem involves the arrangement of machines into shop floor area to optimise performance measures. This paper presents the use of the experimental design and analysis to investigate the optimal parameter setting of Genetic Algorithm (GA) for designing multiple-row machine layout with demand uncertainty aiming to minimise the total cost. The analysis on the results obtained from computational experiments suggested that the proposed algorithm with and without adopting the optimised parameter setting performed distinctively on each problem size. The best GA parameters for MLD problem under stochastic customer demand were statistically compared and reported.

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Periodical:

Advanced Materials Research (Volumes 931-932)

Pages:

1626-1630

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.931-932.1626

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Online since:

May 2014

Authors:

Srisatja Vitayasak, Pupong Pongcharoen*

Keywords:

Experimental Design, GA Parameters, Genetic Algorithm (GA), Layout Design

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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