Dual-Stage Hybrid Learning Particle Swarm Optimization Algorithm for Global Optimization Problems-Reference-Cited by-同舟云学术

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Dual-Stage Hybrid Learning Particle Swarm Optimization Algorithm for Global Optimization Problems

Published:2022-12 Issue:4 Volume:2 Page:288-306
ISSN:2096-9929
Container-title:Complex System Modeling and Simulation
language:
Short-container-title:Complex Syst. Model. Simul.

Author:

Li Wei¹,Chen Yangtao¹,Cai Qian¹,Wang Cancan¹,Huang Ying²,Mahmoodi Soroosh³

Affiliation:

1. School of Information Engineering, Jiangxi University of Science and Technology,Ganzhou,China,341000

2. School of Mathematical and Computer Science, Gannan Normal University,Ganzhou,China,341000

3. Soroosh Khorshid Iranian Co., Abyek Industrial Zone,Qazvin,Iran,999067

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9420428/10004846/10004907.pdf?arnumber=10004907

Reference37 articles.

1. A novel stability-based adaptive inertia weight for particle swarm optimization

2. Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation

3. A modified particle swarm optimization using adaptive strategy

4. Analytical stability analysis of the fractional-order particle swarm optimization algorithm

5. Particle swarm optimization with selective multiple inertia weights

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