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...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/718345 |
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| _version_ | 1832560272037904384 |
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| author | Rong-Jiang Ma Nan-Yang Yu Jun-Yi Hu |
| author_facet | Rong-Jiang Ma Nan-Yang Yu Jun-Yi Hu |
| author_sort | Rong-Jiang Ma |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-b210149956094fa7a9a64f4550d27f5b |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-b210149956094fa7a9a64f4550d27f5b2025-02-03T01:28:04ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/718345718345Application of Particle Swarm Optimization Algorithm in the Heating System Planning ProblemRong-Jiang Ma0Nan-Yang Yu1Jun-Yi Hu2School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaBased 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.http://dx.doi.org/10.1155/2013/718345 |
| spellingShingle | Rong-Jiang Ma Nan-Yang Yu Jun-Yi Hu Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2013/718345 |
| work_keys_str_mv | AT rongjiangma applicationofparticleswarmoptimizationalgorithmintheheatingsystemplanningproblem AT nanyangyu applicationofparticleswarmoptimizationalgorithmintheheatingsystemplanningproblem AT junyihu applicationofparticleswarmoptimizationalgorithmintheheatingsystemplanningproblem |