A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem

A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem

In this study, we propose an algorithm based on a recently proposed metaheuristic called the Harris Hawk Optimization (HHO). We utilized a dynamic control strategy to enhance the exploration capability. To further avoid trapping in local optima, we incorporate opposition-based learning (OLB) and a m...

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Bibliographic Details
Main Authors: Tan Nhat Pham, Ly Van Tran, Son Vu Truong Dao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Economic load dispatch problem
Harris Hawks optimization
multi-restart
opposition-based learning
Online Access:https://ieeexplore.ieee.org/document/9527221/
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spelling doaj-7e2902d8edbd47cd9b4a857983f1c55f2021-09-09T23:00:36ZengIEEEIEEE Access2169-35362021-01-01912218012220610.1109/ACCESS.2021.31095759527221A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch ProblemTan Nhat Pham0https://orcid.org/0000-0002-0445-745XLy Van Tran1https://orcid.org/0000-0001-7621-7511Son Vu Truong Dao2https://orcid.org/0000-0001-9281-4869School of Industrial Engineering and Management, International University, Vietnam National University, HCMC, Ho Chi Minh City, VietnamSchool of Industrial Engineering and Management, International University, Vietnam National University, HCMC, Ho Chi Minh City, VietnamSchool of Industrial Engineering and Management, International University, Vietnam National University, HCMC, Ho Chi Minh City, VietnamIn this study, we propose an algorithm based on a recently proposed metaheuristic called the Harris Hawk Optimization (HHO). We utilized a dynamic control strategy to enhance the exploration capability. To further avoid trapping in local optima, we incorporate opposition-based learning (OLB) and a multi-restart strategy. The proposed algorithm is used to solve economic load dispatch (ELD) problems with non-smooth cost functions. The ELD problems have a very large search space and therefore it is difficult to find global optimum using analytical methods. The results of the proposed approach are very competitive compared with notable results from previous research.https://ieeexplore.ieee.org/document/9527221/Economic load dispatch problemHarris Hawks optimizationmulti-restartopposition-based learning
collection DOAJ
language English
format Article
sources DOAJ
author Tan Nhat Pham
Ly Van Tran
Son Vu Truong Dao
spellingShingle Tan Nhat Pham
Ly Van Tran
Son Vu Truong Dao
A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem
IEEE Access
Economic load dispatch problem
Harris Hawks optimization
multi-restart
opposition-based learning
author_facet Tan Nhat Pham
Ly Van Tran
Son Vu Truong Dao
author_sort Tan Nhat Pham
title A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem
title_short A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem
title_full A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem
title_fullStr A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem
title_full_unstemmed A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem
title_sort multi-restart dynamic harris hawk optimization algorithm for the economic load dispatch problem
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description In this study, we propose an algorithm based on a recently proposed metaheuristic called the Harris Hawk Optimization (HHO). We utilized a dynamic control strategy to enhance the exploration capability. To further avoid trapping in local optima, we incorporate opposition-based learning (OLB) and a multi-restart strategy. The proposed algorithm is used to solve economic load dispatch (ELD) problems with non-smooth cost functions. The ELD problems have a very large search space and therefore it is difficult to find global optimum using analytical methods. The results of the proposed approach are very competitive compared with notable results from previous research.
topic Economic load dispatch problem
Harris Hawks optimization
multi-restart
opposition-based learning
url https://ieeexplore.ieee.org/document/9527221/
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AT sonvutruongdao amultirestartdynamicharrishawkoptimizationalgorithmfortheeconomicloaddispatchproblem
AT tannhatpham multirestartdynamicharrishawkoptimizationalgorithmfortheeconomicloaddispatchproblem
AT lyvantran multirestartdynamicharrishawkoptimizationalgorithmfortheeconomicloaddispatchproblem
AT sonvutruongdao multirestartdynamicharrishawkoptimizationalgorithmfortheeconomicloaddispatchproblem
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