Job shop rescheduling using a hybridization of genetic algorithm and artificial immune systems

This paper discusses on developing a hybrid model of genetic algorithm and artificial immune systems to tackle the problem of changing environment in the job shop scheduling problem. The main idea is to use the model to develop building blocks of partial schedules that can be used to provide backup...

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書誌詳細
主要な著者: Mohamed Din, Aniza, Ku-Mahamud, Ku Ruhana, Yusof, Yuhanis, Mahmuddin, Massudi
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2012
主題:
オンライン・アクセス:http://repo.uum.edu.my/6974/1/P7_-_ISSC2012.pdf
http://repo.uum.edu.my/6974/
http://issc.uum.edu.my/index.php/ISSC2012/ISSC2012
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