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Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem
Based on the life cycle cost (LCC) approach, this paper presents an integral mathematical model and particle swarm optimization (PSO) algorithm for the heating system planning (HSP) problem. The proposed mathematical model minimizes the cost of heating system as the objective for a given life cycle...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713325/ https://www.ncbi.nlm.nih.gov/pubmed/23935429 http://dx.doi.org/10.1155/2013/718345 |
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author | Ma, Rong-Jiang Yu, Nan-Yang Hu, Jun-Yi |
author_facet | Ma, Rong-Jiang Yu, Nan-Yang Hu, Jun-Yi |
author_sort | Ma, Rong-Jiang |
collection | PubMed |
description | Based on the life cycle cost (LCC) approach, this paper presents an integral mathematical model and particle swarm optimization (PSO) algorithm for the heating system planning (HSP) problem. The proposed mathematical model minimizes the cost of heating system as the objective for a given life cycle time. For the particularity of HSP problem, the general particle swarm optimization algorithm was improved. An actual case study was calculated to check its feasibility in practical use. The results show that the improved particle swarm optimization (IPSO) algorithm can more preferably solve the HSP problem than PSO algorithm. Moreover, the results also present the potential to provide useful information when making decisions in the practical planning process. Therefore, it is believed that if this approach is applied correctly and in combination with other elements, it can become a powerful and effective optimization tool for HSP problem. |
format | Online Article Text |
id | pubmed-3713325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37133252013-08-09 Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem Ma, Rong-Jiang Yu, Nan-Yang Hu, Jun-Yi ScientificWorldJournal Research Article Based on the life cycle cost (LCC) approach, this paper presents an integral mathematical model and particle swarm optimization (PSO) algorithm for the heating system planning (HSP) problem. The proposed mathematical model minimizes the cost of heating system as the objective for a given life cycle time. For the particularity of HSP problem, the general particle swarm optimization algorithm was improved. An actual case study was calculated to check its feasibility in practical use. The results show that the improved particle swarm optimization (IPSO) algorithm can more preferably solve the HSP problem than PSO algorithm. Moreover, the results also present the potential to provide useful information when making decisions in the practical planning process. Therefore, it is believed that if this approach is applied correctly and in combination with other elements, it can become a powerful and effective optimization tool for HSP problem. Hindawi Publishing Corporation 2013-07-01 /pmc/articles/PMC3713325/ /pubmed/23935429 http://dx.doi.org/10.1155/2013/718345 Text en Copyright © 2013 Rong-Jiang Ma et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ma, Rong-Jiang Yu, Nan-Yang Hu, Jun-Yi Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem |
title | Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem |
title_full | Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem |
title_fullStr | Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem |
title_full_unstemmed | Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem |
title_short | Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem |
title_sort | application of particle swarm optimization algorithm in the heating system planning problem |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713325/ https://www.ncbi.nlm.nih.gov/pubmed/23935429 http://dx.doi.org/10.1155/2013/718345 |
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