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...

Full description

Saved in:
Bibliographic Details
Main Author: Anuar, Nurul Izah
Format: Thesis
Language:English
English
Published: 2022
Subjects:
Online Access: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
http://eprints.utem.edu.my/id/eprint/26914/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122094
Tags: Add Tag
No Tags, Be the first to tag this record!