Genetic Algorithms Embedded with Concise Chromosome Representations for Distributed and Flexible Job-shop Scheduling

博士 === 國立交通大學 === 工業工程與管理系所 === 103 === This paper proposes four genetic algorithms (GA_JSA, GA_JS, GA_J, and GA_JCS) for solving distributed and flexible job-shop scheduling (DFJS) problems. A DFJS problem involves three scheduling decisions: (1) job-to-cell assignment, (2) operation-sequencing, an...

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Bibliographic Details
Main Authors: Lu, Po-Hsiang, 盧柏翔
Other Authors: Wu, Muh-Cherng
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/82tfy6