GA=PSO: Realizing Equivalent Particle Swarm Optimization by Genetic Algorithm-Reference-Cited by-同舟云学术

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GA=PSO: Realizing Equivalent Particle Swarm Optimization by Genetic Algorithm

Published:2023-05-06 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Advanced Computational Intelligence (ICACI)
language:
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Author:

Zhu Ruoyu¹,Zheng Zhonglong²,Wang Hua³,Zhou Xiangmin⁴,Liu Dong¹,Sun Lin¹

Affiliation:

1. Henan Normal University,College of Computer and Information Engineering,Xinxiang,China

2. Zhejiang Normal University,College of Mathematics and Computer Science,Jinhua,China

3. Victoria University,Institute for Sustainable Industries & Liveable Cities,Melbourne,Australia

4. RMIT University,School of Computing Technologies,Melbourne,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10146108/10146127/10146140.pdf?arnumber=10146140

Reference47 articles.

1. Random neighbor elite guided differential evolution for global numerical optimization

2. A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization

3. Parameter optimization of control system design for uncertain wireless power transfer systems using modified genetic algorithm

4. Differential Elite Learning Particle Swarm Optimization for Global Numerical Optimization

5. An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization

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