Optimal Power Flow via Teaching-Learning-Studying-Based Optimization Algorithm-Reference-Cited by-同舟云学术

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Optimal Power Flow via Teaching-Learning-Studying-Based Optimization Algorithm

Published:2021-10-18 Issue: Volume: Page:1-18
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Akbari Ebrahim¹^ORCID,Ghasemi Mojtaba²^ORCID,Gil Milad³^ORCID,Rahimnejad Abolfazl⁴^ORCID,Andrew Gadsden S.⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran

2. Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran

3. Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran

4. Department of Engineering Systems and Computing, University of Guelph, Guelph, Canada

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2021.1971331

Reference106 articles.

1. Particle swarm optimization

2. A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)

3. Artificial bee colony algorithm for large-scale problems and engineering design optimization

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