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The Scientific World Journal
Volume 2013, Article ID 718345, 11 pages
Research Article

Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem

1School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
2CSR Qishuyan Institute Co., Ltd., Changzhou 213011, China

Received 2 May 2013; Accepted 13 June 2013

Academic Editors: P. Agarwal, S. Balochian, and Y. Zhang

Copyright © 2013 Rong-Jiang Ma et al. 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.


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.