A clustering-based competitive particle swarm optimization with grid ranking for multi-objective optimization problems
Abstract The goal of the multi-objective optimization algorithm is to quickly and accurately find a set of trade-off solutions. This paper develops a clustering-based competitive multi-objective particle swarm optimizer using the enhanced grid for solving multi-objective optimization problems, named...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-07-01
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| Online Access: | https://doi.org/10.1038/s41598-023-38529-4 |