Modified Particle Swarm Optimization for Engineering Optimization Problems and UAV Path Planning
Optimization problems aim to identify the best solution from a wide range of possibilities. The Particle Swarm Optimization (PSO) algorithm is widely recognized for its simplicity and efficiency, but it suffers from issues such as local optima trapping and degraded performance in high-dimensional pr...
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| Main Authors: | Xing Zhang, Gaoquan Gu, Cunsheng Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10965620/ |
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