碩士 / 國立臺北科技大學 / 工業工程與管理研究所 / 99 / For globalization ,it is more competitive between productions selling .Therefore ,production’s supply chain is more and more important ,and materials ,semi-manufactured goods and productions transport is a indispensable factor in supply chain .So it must have a maturity and determinism plan that transport materials ,semi-manufactured goods and productions to reduce cost ,keep quality and satisfy customer’s demand .but, different productions ,area and transportation problems will affect transportation plan .To plan various transportation in supply chain ,this study improve multi-objective genetic algorithm to obtain a algorithm that can solve various transportation problem and more efficient than other multi-objective genetic algorithm .This study use a different mode that classify different genetical on chromosome code .Add “Learning” to search a more better genetic in local area. Elitism strategy will basis on important of chromosome.copulation and mulation change value and route between two chromosomes .A unhindered procedure can get a more better policy.
| Identifer | oai:union.ndltd.org:TW/099TIT05117036 |
| Date | January 2011 |
| Creators | Ming-Che Wu, 吳銘哲 |
| Contributors | 王河星 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 34 |
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