Article ID: | iaor2002189 |
Country: | India |
Volume: | 22 |
Issue: | 1 |
Start Page Number: | 41 |
End Page Number: | 55 |
Publication Date: | Jan 2001 |
Journal: | Journal of Information & Optimization Sciences |
Authors: | Ding Jieh-Rern |
Maintenance float problems in a flexible manufacturing system tend to become analytically intractable while the assumptions of their models become more complex and practical; consequently, they are too complex to solve by traditional optimization theories; and therefore, a heuristic algorithm or an enumerative search method is always used to solve them. To tackle the problems, in this study, we solve them by a genetic algorithm which is often implemented to search the global optimization in a complex search space. The numerical example shows that our approach can find the optimal solution of these problems with less effort.