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

作者：Ma Rong Jiang^*; Yu Nan Yang; Hu Jun Yi

来源：The Scientific World Journal, 2013, 2013: 718345.

DOI：10.1155/2013/718345

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.

• 出版日期2013
• 单位西南交通大学