Adam–Eve-like genetic algorithm: A methodology for optimal design of a simple flexible assembly system

Adam–Eve-like genetic algorithm: A methodology for optimal design of a simple flexible assembly system

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Article ID: iaor20011712
Country: Netherlands
Volume: 36
Issue: 2
Start Page Number: 233
End Page Number: 258
Publication Date: Apr 1999
Journal: Computers & Industrial Engineering
Authors: ,
Keywords: genetic algorithms
Abstract:

The assembly process is an essential part of the total manufacturing process in today's manufacturing system. The simple Flexible Assembly System (FAS) which is proposed in this article includes a set of Removal Item Case (RIC) of Generalized CSPS workstations. Since there are numerous system parameters and variables with considerable interaction, the optimal design of the system seems to be a complex task. An Adam–Eve-like GA was introduced and proposed in order to design the simple FAS. Taking a hint from nature, the proposed method has some special characteristics which distinguish it from others. A comparison between the Adam–Eve-like GA and traditional GAs was conducted. Based on the results from an optimization standpoint, the Adam–Eve-like GA seems to produce reasonable engineering results in an inherently difficult area where few other techniques are available. Findings suggest that it may be beneficial to apply the Adam–Eve-like GA to other difficult optimization problems.

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