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Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem
Joint Authors
Ma, Rong-Jiang
Yu, Nan-Yang
Hu, Jun-Yi
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Ma, Rong-Jiang& Yu, Nan-Yang& Hu, Jun-Yi. 2013. Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1012785
Modern Language Association (MLA)
Ma, Rong-Jiang…[et al.]. Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem. The Scientific World Journal No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1012785
American Medical Association (AMA)
Ma, Rong-Jiang& Yu, Nan-Yang& Hu, Jun-Yi. Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1012785
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012785