Application of Simulated Annealing Particle Swarm Optimization Algorithm in Power Coal Blending Optimization

被引：0
|
作者：
Cui Yanbin [1 ]
机构：
[1] N China Elect Power Univ, Dept Mech Engn, Baoding 071003, Hebei, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
power coal blending; particle swarm optimization; simulated annealing;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The particle swarm optimization algorithm is easily trapped into local optimization. In order to improve its performance, The simulated annealing operation was introduced into PSO. The hybrid algorithm combines the fast search optimum ability of PSO with probability jump property of SA. It can maintain the individual diversity and restrain the degenerate phenomenon. The experiment results compared with genetic algorithm demonstrate that the proposed algorithm can search for global optimal solution more reliably and faster, and the power coal blending optimization can be efficiently solved with higher quality.
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页码：5234 / 5237
页数：4
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