| 求解模糊相关机会规划的混合智能算法 |
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| 引用本文： | 肖宁,王玲.求解模糊相关机会规划的混合智能算法[J].计算机与数字工程,2011,39(12):36-40. |
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| 作者姓名： | 肖宁 王玲 |
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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： | 模糊相关机会规划是一类有着广泛应用背景的随机规划问题，该文采用模糊模拟产生样本训练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模糊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。
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| 关 键 词： | 模糊相关机会规划 微粒群算法 神经网络 模糊模拟 |
Solution of Fuzzy Dependent-Chance Programming with Hybrid Intelligent Algorithm |
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| Xiao Ning,Wang Ling.Solution of Fuzzy Dependent-Chance Programming with Hybrid Intelligent Algorithm[J].Computer and Digital Engineering,2011,39(12):36-40. |
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| Authors: | Xiao Ning Wang Ling |
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| Affiliation: | Xiao Ning Wang Ling(Computer Science Department,Shaanxi Vocational & Technical College,Xi’an 710100) |
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| Abstract: | The fuzzy dependent-chance programming which has wide application backgrounds belongs to a class of fuzzy programming problems. In the paper, fuzzy simulation is used to produce training samples for BP neural network to approximate the chance function, and a hybrid intelligent algorithm for fuzzy 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 effectiveness of the algorithm. |
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| Keywords: | fuzzy dependent-chance programming PSO neural networks fuzzy simulation |
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