| 求解随机机会约束规划的混合智能算法 |
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| 引用本文： | 肖宁. 求解随机机会约束规划的混合智能算法[J]. 计算机工程与应用, 2010, 46(22): 43-46. DOI: 10.3778/j.issn.1002-8331.2010.22.015 |
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| 作者姓名： | 肖宁 |
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| 作者单位： | 陕西职业技术学院 计算机科学系，西安 710100 |
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| 摘 要： | 随机机会约束规划是一类有着广泛应用背景的随机规划问题，采用随机仿真产生样本训练BP网络以逼近随机函数，然后在微粒群算法中利用神经网络计算适应值和实现检验解的可行性，从而提出了一种求解随机机会约束规划的混合智能算法。最后通过两个实例的仿真结果说明了算法的正确性和有效性。
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| 关 键 词： | 随机机会约束规划 微粒群算法 随机仿真 神经网络 |
| 收稿时间： | 2009-02-23 |
| 修稿时间： | 2009-7-3 |
Solving stochastic chance-constrained programming problems with hybrid intelligent algorithm |
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| XIAO Ning. Solving stochastic chance-constrained programming problems with hybrid intelligent algorithm[J]. Computer Engineering and Applications, 2010, 46(22): 43-46. DOI: 10.3778/j.issn.1002-8331.2010.22.015 |
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| Authors: | XIAO Ning |
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| Affiliation: | Department of Computer Science，Shaanxi Vocational & Technical College，Xi’an 710100，China |
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| Abstract: | Stochastic chance-constrained programming belongs to a class of stochastic programming problems,in the paper, random simulation is used to produce training samples for BP neural network to approximate the stochastic function,fitness value is calculated and feasible solution is checked by the trained neural network in PSO, and a hybrid intelligent algorithm for stochastic chance-constrained programming is presented.Finally, the simulation results show the correctness and effective- ness of the algorithm. |
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| Keywords: | stochastic chance-constrained programming Particle Swarm Optimization （PSO） algorithm random simulation neu- ral network |
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