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基于PSO求解随机相关机会规划的有效算法
引用本文:肖宁.基于PSO求解随机相关机会规划的有效算法[J].计算机与数字工程,2009,37(6):52-56.
作者姓名:肖宁
作者单位:陕西职业技术学院计算机科学系,西安,710100
摘    要:随机相关机会规划是一类有着广泛应用背景的随机规划问题,通过采用随机仿真产生样本训练BP网络以逼近机会函数,然后应用微粒群算法并以逼近机会函数的神经网络作为适应值估计,从而提出了一种求解随机相关机会规划的混合智能算法。最后通过实例仿真说明了算法的正确性和有效性。

关 键 词:随机相关机会规划  微粒群算法  神经网络  随机仿真

Solving Stochastic Dependent-Chance with Efficient Algorithm of Based on PSO
Xiao Ning.Solving Stochastic Dependent-Chance with Efficient Algorithm of Based on PSO[J].Computer and Digital Engineering,2009,37(6):52-56.
Authors:Xiao Ning
Institution:Computer Science Department;Shaanxi Vocational & Technical College;Xi'an 710100
Abstract:The stochastic dependent-chance programming which has wide application backgrounds belongs to a class of stochastic programming problems,random simulation is used to produce training samples for BP neural network to approximate the chance function,and a hybrid intelligent algorithm for stochastic dependent-chance programming combined particle swarm optimization with BP neural network for approximation of the chance function is presented.Finally,the simulation results are given to show the correctness and ef...
Keywords:stochastic dependent-chance programming  PSO  neural network  random simulation  
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