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: | Matsui Masayuki, Feyzbakhsh S. Alireza |
Keywords: | genetic algorithms |
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.