A Study On Multi-Objective Particle Swarm Optimization In Solving Job-Shop Scheduling Problems
Particle Swarm Optimization (PSO) is a population-based metaheuristic that was modelled based on the social interaction and communication of organisms, such as a flock of birds or a school of fishes. It is widely applied to solve a single-objective function in existing research, but this is not suit...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Machine Intelligence Research (MIR) Labs
2021
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| Online Access: | http://eprints.utem.edu.my/id/eprint/25600/2/2021%20IJCISIM%20A%20STUDY%20ON%20MULTI-OBJECTIVE%20PARTICLE%20SWARM.PDF http://eprints.utem.edu.my/id/eprint/25600/ http://www.mirlabs.org/ijcisim/regular_papers_2021/IJCISIM_6.pdf |
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