PMID- 23935429 OWN - NLM STAT- MEDLINE DCOM- 20140226 LR - 20211021 IS - 1537-744X (Electronic) IS - 2356-6140 (Print) IS - 1537-744X (Linking) VI - 2013 DP - 2013 TI - Application of particle swarm optimization algorithm in the heating system planning problem. PG - 718345 LID - 10.1155/2013/718345 [doi] LID - 718345 AB - 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. FAU - Ma, Rong-Jiang AU - Ma RJ AD - School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China. swjtumrj@139.com FAU - Yu, Nan-Yang AU - Yu NY FAU - Hu, Jun-Yi AU - Hu JY LA - eng PT - Journal Article PT - Review DEP - 20130701 PL - United States TA - ScientificWorldJournal JT - TheScientificWorldJournal JID - 101131163 SB - IM MH - *Algorithms MH - Feasibility Studies MH - *Heating MH - *Planning Techniques PMC - PMC3713325 EDAT- 2013/08/13 06:00 MHDA- 2014/02/27 06:00 PMCR- 2013/07/01 CRDT- 2013/08/13 06:00 PHST- 2013/05/02 00:00 [received] PHST- 2013/06/13 00:00 [accepted] PHST- 2013/08/13 06:00 [entrez] PHST- 2013/08/13 06:00 [pubmed] PHST- 2014/02/27 06:00 [medline] PHST- 2013/07/01 00:00 [pmc-release] AID - 10.1155/2013/718345 [doi] PST - epublish SO - ScientificWorldJournal. 2013 Jul 1;2013:718345. doi: 10.1155/2013/718345. Print 2013.