A Hybrid Particle Swarm Optimization Algorithm and Its Application in Hydrogen Management
This paper proposes a hybrid particle swarm optimization algorithm with local chaos search. It combines the particle swarm optimization with the chaos optimization and takes full advantage of the quick and broad search of the former and the randomness and ergodicity of the latter simultaneously. This hybrid algorithm not only overcomes the basic particle swarm optimization algorithms disadvantage of easily getting into the local extremum in the later evolution period, but also keeps the rapidity in the previous period. In the final, this algorithm is used to resolve the static scheduling model of hydrogen balance in the refinery. The balance between hydrogen production and utilization is achieved, and at the same time, the cost of hydrogen utilization is reduced as much as possible.
Jinsong Zhang Zhaoxia Wang
Department of Information Engineering,Shandong Jiaotong University,Jinan 250357 China College of Electronic Information and Control Engineering,Shandong Institute of Light Industry,Jinan
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
1521-1525
2009-06-22（万方平台首次上网日期，不代表论文的发表时间）