| 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 |
| |
| Affiliation: | 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 |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
