Model of coal product structure based on particle swarm optimization algorithm
Planning rational product structure of coal preparation is the key to attain the maximization of economic benefit in coal preparation enterprise and to save energy resources. There are many factors effect the preparation product structure, such as raw coal quality, separating methods, coal price, processing cost, product quality demands and equipment performance, etc. The research focuses on the optimization of product structure under the Multi-factor influences. In order to maximizing the economic benefit, the algorithm model of product structure is established, and the multiple influence factors are transformed as model parameters and constraint conditions. Then the particle swarm optimization (PSO) algorithm is used to search the optimal scheme of product structure. According to the actual requirement, the model was divided into several child models during the calculation. A set of practical software has been developed based on the research. The result shows that using PSO algorithm can get better convergence effect and avoid the local optimization for the Multi-factor model and that the optimal scheme of product structure from the model accord with the practical situation.
gravity separation product structure optimization model particle swarm optimization mazimum economic benefits
Wang Zhang-guo Kuang Ya-li Lin Zhe Shi Chang-sheng
School of Chemical Engineering and Technology, China University of Mining & Technology, Xuzhou 22111 Environmental Engineering Department, North China Institute of Science and Technology, Beijing 10160
国际会议
The 6th International Conference on Mining Science & Technology ICMST 2009(第六届国际矿业科学技术大会)
徐州
英文
1-8
2009-10-18（万方平台首次上网日期，不代表论文的发表时间）