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On the fuzzy scheduling for flow shop jobs by using genetic algorithm

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3 Author(s)
Okabe, T. ; Fac. of Eng., Kyushu Inst. of Technol., Kitakyushu, Japan ; Maeda, M. ; Murakami, S.

Deals with fuzzy scheduling for flow shop jobs. In this scheduling problem, we employ a fuzzy penalty cost function for the delay time of the deadline of a job. The evaluation of job flow (ordering) is done by evaluating some penalty costs for the jobs. To select the best job flow, a genetic algorithm is used. However, under fuzzy evaluation, its solution is not unique and fuzzy valued. Finally, the fuzzy solutions as job flows are shown in a fuzzy Gantt chart

Published in:

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on  (Volume:4 )

Date of Conference:

1999