Particle Swarm Optimization Based on a Novel Evaluation of Diversity
In this paper, we propose a particle swarm optimization variant based on a novel evaluation of diversity (PSO-ED). By a novel encoding of the sub-space of the search space and the hash table technique, the diversity of the swarm can be evaluated efficiently without any information compression. This...
Main Authors: | Haohao Zhou, Xiangzhi Wei |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/14/2/29 |
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