Economic Dispatch Using Parameter-Setting-Free Harmony Search

Economic dispatch is one of the popular energy system optimization problems. Recently, it has been solved by various phenomenon-mimicking metaheuristic algorithms such as genetic algorithm, tabu search, evolutionary programming, particle swarm optimization, harmony search, honey bee mating optimizat...

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Main Author: Zong Woo Geem
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/427936
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author Zong Woo Geem
author_facet Zong Woo Geem
author_sort Zong Woo Geem
collection DOAJ
description Economic dispatch is one of the popular energy system optimization problems. Recently, it has been solved by various phenomenon-mimicking metaheuristic algorithms such as genetic algorithm, tabu search, evolutionary programming, particle swarm optimization, harmony search, honey bee mating optimization, and firefly algorithm. However, those phenomenon-mimicking problems require a tedious and troublesome process of algorithm parameter value setting. Without a proper parameter setting, good results cannot be guaranteed. Thus, this study adopts a newly developed parameter-setting-free technique combined with the harmony search algorithm and applies it to the economic dispatch problem for the first time, obtaining good results. Hopefully more researchers in energy system fields will adopt this user-friendly technique in their own problems in the future.
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publishDate 2013-01-01
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spelling doaj-art-c7e0d7bad8854e4f98b587b320dc425b2025-08-20T02:20:01ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/427936427936Economic Dispatch Using Parameter-Setting-Free Harmony SearchZong Woo Geem0Department of Energy and Information Technology, Gachon University, Seongnam 461-701, Republic of KoreaEconomic dispatch is one of the popular energy system optimization problems. Recently, it has been solved by various phenomenon-mimicking metaheuristic algorithms such as genetic algorithm, tabu search, evolutionary programming, particle swarm optimization, harmony search, honey bee mating optimization, and firefly algorithm. However, those phenomenon-mimicking problems require a tedious and troublesome process of algorithm parameter value setting. Without a proper parameter setting, good results cannot be guaranteed. Thus, this study adopts a newly developed parameter-setting-free technique combined with the harmony search algorithm and applies it to the economic dispatch problem for the first time, obtaining good results. Hopefully more researchers in energy system fields will adopt this user-friendly technique in their own problems in the future.http://dx.doi.org/10.1155/2013/427936
spellingShingle Zong Woo Geem
Economic Dispatch Using Parameter-Setting-Free Harmony Search
Journal of Applied Mathematics
title Economic Dispatch Using Parameter-Setting-Free Harmony Search
title_full Economic Dispatch Using Parameter-Setting-Free Harmony Search
title_fullStr Economic Dispatch Using Parameter-Setting-Free Harmony Search
title_full_unstemmed Economic Dispatch Using Parameter-Setting-Free Harmony Search
title_short Economic Dispatch Using Parameter-Setting-Free Harmony Search
title_sort economic dispatch using parameter setting free harmony search
url http://dx.doi.org/10.1155/2013/427936
work_keys_str_mv AT zongwoogeem economicdispatchusingparametersettingfreeharmonysearch