A Gradient-Based Adaptive Quantum-behaved Particle Swarm Optimization

Based on the quantum-behaved particle swarm optimization and gradient-based methods, an improved particle swarm optimization algorithm is proposed. In this modified particle swarm algorithm, particles alternate between utilizing quantum behavior and gradient information to optimize parameters. The a...

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Bibliographic Details

Published in:	2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE) pp. 37 - 43
Main Authors:	Mei, Hao, Zhang, Jingjing, Wang, Qingchun, Wu, Yuchun, Guo, Guoping
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2024
Subjects:	Costs gradient Gradient methods Heuristic algorithms optimization particle Performance evaluation Robustness Scalability Sociology swarm
Online Access:	Get full text
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