Particle Swarm Optimization: A Comprehensive Survey-Reference-Cited by-同舟云学术

Particle Swarm Optimization: A Comprehensive Survey

Published:2022 Issue: Volume:10 Page:10031-10061
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shami Tareq M.¹^ORCID,El-Saleh Ayman A.²^ORCID,Alswaitti Mohammed³^ORCID,Al-Tashi Qasem⁴^ORCID,Summakieh Mhd Amen⁵^ORCID,Mirjalili Seyedali⁶^ORCID

Affiliation:

1. Department of Electronic Engineering, University of York, York, U.K.

2. Department of Electronics and Communication Engineering, College of Engineering, A’Sharqiyah University, Ibra, Oman

3. Department of Information and Communication Technology, School of Electrical and Computer Engineering, Xiamen University Malaysia, Sepang, Malaysia

4. Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA

5. Faculty of Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia

6. Centre for Artificial Intelligence Research and Optimization, Torrens University Australia, Fortitude Valley, QLD, Australia

Funder

Xiamen University Malaysia (XMUM) under the XMUM Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09680690.pdf?arnumber=9680690

Reference290 articles.

1. EMD–PSO–ANFIS‐based hybrid approach for short‐term load forecasting in microgrids

2. A switching delayed PSO optimized extreme learning machine for short-term load forecasting

3. Memory-based approaches for eliminating premature convergence in particle swarm optimization

4. Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization

5. Reactive Power Management of MV Distribution Grid with Inverter-based PV Distributed Generations using PSO Algorithm

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