粒子群算法在螺旋桨加工量计算中的应用

Application of Particle Swarm Optimization Algorithm in Computation of Propeller's Manufacture Quantity

粒子群算法源于对鸟群捕食系统的模拟。相对于遗传算法,粒子群算法的优势在于容易实现并且需要调整的参数不是很多。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视,并且在解决实际问题中展示了强大的优越性,在越来越多的领域得到了应用。对螺旋桨加工过程中的加工量计算进行了分析,并采用了智能优化算法领域中较为先进的粒子群算法对复杂的加工量计算进行了优化,以达到加工时提高效率、减少工作量的目的。

Particle Swarm Optimization（PSO）algorithm which stems from the simulation of birds flock＇s looking for food.Relative to Genetic Algorithm（GA）,PSO can be implemented easily because it hasn＇t crossover and mutation operator and many parameters to be adjusted, has been paid attention to and researched wildly.This article researches in the process of manufacture quantity computation.Firstly,it establishes mathematic model,secondly＇it studies the process of computation in manufacture quantity,and finally it discusses the application of PSO in computation of propeller.