Using data mining to solve flow shop scheduling problems
博士 === 國立雲林科技大學 === 管理研究所博士班 === 101 === This study presents a novel use of data mining algorithms for the extraction of knowledge from a large set of flow shop schedules. The purpose of this work is to apply rough set methodologies to explore the patterns in data generated by the simulated annealin...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/04916120764693240466 |