混合智能算法在模糊规划中的应用  

Fuzzy Programming with a Hybrid Intelligent Algorithm

作　　者：裴振奎[1] 陈继东[1] 赵艳丽[1] 刘真[1] 

机构地区：[1]中国石油大学(华东)计算机科学系,山东东营257061

出　　处：《郑州大学学报（理学版）》2010年第3期71-74,共4页Journal of Zhengzhou University:Natural Science Edition

基　　金：国家自然科学基金资助项目;编号60673089

摘　　要：简要介绍了模糊规划并综述了模糊规划的建模理论,提出在原有混合智能算法研究的基础上将进化策略融合进混合智能算法中来解决原有算法易陷入局部最优解的问题,提高了求解精度及收敛速度.Fuzzy programming offers a powerful means of handling optimization problems with fuzzy parameters.Fuzzy programming has been used in different ways in the past.Fuzzy programming is presented briefly,and the modeling principle of fuzzy programming is summarized.In order to increase the probability of escaping from the local optima,a new hybrid intelligent algorithm fused evolution strategies is given,which improves the precision and convergence speed.Then the algorithm steps are introduced.Finally,the prospects and directions for the development of hybrid intelligent algorithm are proposed.Numerical results show that,the new hybrid intelligent algorithm is superior to the traditional algorithm on accuracy.

关 键 词：进化策略 模糊规划 混合智能算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]