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Using micro genetic algorithm for solving scheduling problems

Job Shop Scheduling Problem (JSSP) and Timetable scheduling are known to be computationally NP–hard problems. There have been many attempts by many researchers to develop reliable scheduling software, however, many of these software have only been tested or applied on an experimental basis or on a s...

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Bibliographic Details
Main Author: Tay, Cheng San
Format: Thesis
Language:English
Published: 2005
Subjects:
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Online Access:http://eprints.utm.my/id/eprint/35024/1/TayChengSan%20MFKE2005.pdf
http://eprints.utm.my/id/eprint/35024/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:61288?queryType=vitalDismax&query=Using+micro+genetic+algorithm+for+solving+scheduling+problems&public=true
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http://eprints.utm.my/id/eprint/35024/1/TayChengSan%20MFKE2005.pdf
http://eprints.utm.my/id/eprint/35024/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:61288?queryType=vitalDismax&query=Using+micro+genetic+algorithm+for+solving+scheduling+problems&public=true

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