Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling

Many real-world production scheduling problems involve the simultaneous optimization of multiple conflicting objectives that are challenging to solve without the aid of powerful optimization techniques. This includes the multi-objective Job-shop Scheduling Problem (JSP), which is among the most diff...

詳細記述

書誌詳細

第一著者:	Anuar, Nurul Izah
フォーマット:	学位論文
言語:	英語 英語
出版事項:	2022
主題:	T Technology (General) TS Manufactures
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/26914/1/Hybrid-discrete%20multi-objective%20particle%20swarm%20optimization%20for%20multi-objective%20job-shop%20scheduling.pdf http://eprints.utem.edu.my/id/eprint/26914/2/Hybrid-discrete%20multi-objective%20particle%20swarm%20optimization%20for%20multi-objective%20job-shop%20scheduling.pdf