Modified Particle Swarm Optimization for Engineering Optimization Problems and UAV Path Planning

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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Bibliographic Details
Main Authors: Xing Zhang, Gaoquan Gu, Cunsheng Zhao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Particle swarm optimization
non-uniform mutation operator
transformer prediction model
UAV road planning
engineering optimization problem
Online Access:https://ieeexplore.ieee.org/document/10965620/
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