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...
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| Format: | Thèse |
| Langue: | anglais anglais |
| Publié: |
2022
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| Accès en ligne: | 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 |
Internet
http://eprints.utem.edu.my/id/eprint/26914/1/Hybrid-discrete%20multi-objective%20particle%20swarm%20optimization%20for%20multi-objective%20job-shop%20scheduling.pdfhttp://eprints.utem.edu.my/id/eprint/26914/2/Hybrid-discrete%20multi-objective%20particle%20swarm%20optimization%20for%20multi-objective%20job-shop%20scheduling.pdf