A Two-Archive Harris Hawk Optimization for Solving Many-Objective Optimal Power Flow Problems-Reference-Cited by-同舟云学术

A Two-Archive Harris Hawk Optimization for Solving Many-Objective Optimal Power Flow Problems

Published:2023 Issue: Volume:11 Page:134557-134574
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khunkitti Sirote¹^ORCID,Premrudeepreechacharn Suttichai¹^ORCID,Siritaratiwat Apirat²^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

2. Department of Electrical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand

Funder

Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation (OPS MHESI), Thailand Science Research and Innovation

Chiang Mai University

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/ielx7/6287639/10005208/10332199.pdf?arnumber=10332199

Reference78 articles.

1. A multi-objective optimal power flow using particle swarm optimization

2. Solving multi‐objective optimal power flow problem via forced initialised differential evolution algorithm

3. Multi-Objective Optimal Power Flow Problems Based on Slime Mould Algorithm

4. Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm

5. Electrical distribution system reconfiguration for power loss reduction by the Salp Swarm algorithm

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