|
|||||
|
|
| 求解模糊机会约束规划的混合智能算法 | |
| 引用本文： | 肖宁,曾建潮,王煜东.求解模糊机会约束规划的混合智能算法[J].计算机与数字工程,2010,38(10):38-42. |
| 作者姓名： | 肖宁 曾建潮 王煜东 |
| 作者单位： | 1. 陕西职业技术学院计算机科学系,西安,710100 2. 太原科技大学系统仿真与计算机应用研究所,太原,030024 3. 陕西省地方电力集团公司咸阳分公司,咸阳,712100 |
| 摘 要： | 模糊机会约束规划是一类重要的模糊规划,它广泛地存在于许多领域中,微粒群算法已实现了对其的有效求解,但求解速度仍不能满足大规模模糊机会约束规划问题的求解,为了寻找更为高效的求解模糊机会约束规划的算法,通过采用模糊模拟产生样本训练BP网络以逼近模糊函数,然后应用微粒群算法并以逼近模糊函数的神经网络作为适应值估计及检验解的可行性,从而提出了一种求解模糊机会约束规划的混合智能算法。最后通过仿真结果说明了算法的正确性和有效性。 |
| 关 键 词： | 模糊机会约束规划 微粒群算法 神经网络 |
Solving Fuzzy Chance-constrained Programming Problems with Hybrid Intelligent Algorithm |
|
| Xiao Ning,Zeng Jianchao,Wang Yudong.Solving Fuzzy Chance-constrained Programming Problems with Hybrid Intelligent Algorithm[J].Computer and Digital Engineering,2010,38(10):38-42. | |
| Authors: | Xiao Ning Zeng Jianchao Wang Yudong |
| Affiliation: | Xiao Ning)Zeng Jianchao)Wang Yudong)(Computer Science Department,Shaanxi Vocational ＆ Technical College1),Xi＇an710100)(Division of System Simulation ＆ Computer Application,Taiyuan University of Science and Technology2),Taiyuan030024)(Shaanxi Regional Electric Power Group CD.,LTD,Xianyang Branch3),Xianyang712100) |
| Abstract: | Fuzzy chance-constrained programming is a class of fuzzy programming,it widely exits in different fields,particle swarm algorithm has effectively resolved it,but it still can not meet the large-scale fuzzy chance-constrained programming problem solving in speeding,in order to search an algorithm which can more effectively solve this problem,fuzzy simulation is used to produce training samples for BP neural networks to approximate the fuzzy function.a hybrid intelligent algorithm for fuzzy chance-constrained programming combined particle swarm optimization with BP network for approximation of the fitness function and checking feasibility of solution is presented.Finally,the simulation results show that it is correct and efficient. |
| Keywords: | fuzzy chance-constrained programming pso algorithm neural networks |
| 本文献已被 维普 万方数据 等数据库收录！ | |