摘要
介绍了粒子群优化算法的原理,并将粒子群优化算法应用于异型螺旋槽管的优化设计,针对不同的设计目的,制定了不同的目标函数进行优化。与其它演化算法相比,粒子群优化算法速度快,优化质量也令人满意,特别适于连续问题的优化。优化结果表明,粒子群优化算法能很好地应用于异型螺旋槽管的优化设计,并能较好推广应用于其它领域。
The principle of particle swarm optimization （PSO） are presented and the algorithm is applied in optimization design unusual type spirally fluted tubes. The different objective functions are made for different purpose. Compared with neural network （NN） and genetic algorithms （GA）, PSO shows better performance, and is effective for optimization of unusual type spirally fluted tubes. PSO can be used in the other petro-chemical equipment.
出处
《石油化工设备》
CAS
2007年第2期36-39,共4页
Petro-Chemical Equipment
关键词
粒子群
螺旋槽管
优化设计
particle swarm
unusual type spirally fluted tube
optimization design
