An effective genetic algorithm for the flexible job-shop scheduling problem
ناشر:
سال
: 2011شناسه الکترونیک: 10.1016/j.eswa.2010.08.145
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:
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آمار بازدید
An effective genetic algorithm for the flexible job-shop scheduling problem
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contributor author | Guohui Zhang | |
contributor author | Liang Gao | |
contributor author | Yang Shi | |
date accessioned | 2020-03-12T01:06:27Z | |
date available | 2020-03-12T01:06:27Z | |
date issued | 2011 | |
identifier other | Tgjg4IPSq2fVAoqmkAHhPTfoF3vCBrZ4p2Eyu7F2A5L__u0ROi.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/702464 | |
format | general | |
language | English | |
publisher | Elsevier Science | |
title | An effective genetic algorithm for the flexible job-shop scheduling problem | |
type | Journal Paper | |
contenttype | Fulltext | |
contenttype | Fulltext | |
identifier padid | 5375012 | |
identifier doi | 10.1016/j.eswa.2010.08.145 | |
journal title | Expert Systems with Applications | |
coverage | Academic | |
pages | 3563-3573 | |
journal volume | 38 | |
journal issue | 4 | |
filesize | 1433262 | |
citations | 3 |