A Promising Genetic Algorithm Approach to Job - Shop

Abstract

The general job-shop scheduling problem is known to be extremely hard. We describe a GA approach which produces reasonably good results very quickly on standard benchmark job-shop scheduling problems, better than previous eeorts using genetic algorithms for this task, and comparable to existing conventional search-based methods. The representation used is a… (More)

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@inproceedings{Fang2008APG, title={A Promising Genetic Algorithm Approach to Job - Shop}, author={Hsiao-Lan Fang and Peter Ross and Dave W Corne}, year={2008} }