Multiobjective Particle Swarm Optimization Algorithm Based on Adaptive Angle Division
It is difficult to balance the convergence and diversity at the same time and select the globally optimal particle (gbest) in the multiobjective particle swarm optimization (MOPSO) process. In this paper, a novel method based on adaptive angle division is proposed targeting at archive maintenance an...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8750781/ |