基于蚂蚁算法和SVR的离散变量稳健设计优化  被引量:1

Robust Design Optimization with Mixed-discrete Variables Based on Ant Colony Algorithm and Support Vector Regression

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作  者:任丕顺[1] 韩慧仙[1] 郭惠昕[2] 

机构地区:[1]湖南机电职业技术学院机械工程系,湖南长沙410151 [2]长沙大学机电工程系,湖南长沙410003

出  处:《机械工程与自动化》2010年第1期9-11,共3页Mechanical Engineering & Automation

基  金:湖南省教育厅高等学校科学研究资助项目(08D057)

摘  要:引入蚁群打散、离散搜索等策略对基本蚂蚁算法进行了改进,并采用MATLAB语言编制了离散变量优化设计的蚂蚁算法程序。采用支持向量回归机对模糊概率等非线性函数进行仿真计算,提高了模糊稳健优化设计的求解效率。给出了混合离散变量的稳健优化设计实例,表明了所提出方法的有效性和实用性。The basic ant colony optimization algorithm was improved by introducing scatterance of ant colony and discrete searching.In order to solve optimization problem with mixed-discrete variables,a program of improved ant colony algorithm in the language of MATLAB was designed.The support vector regression(SVR) was used as a surrogate model for computing the values of nonlinear functions such as fuzzy probability,and then the computational efficiency of robust design optimization was distinctly improved.An example of robust design optimization with mixed-discrete variables was given.The result shows that the proposed method is effective in engineering application.

关 键 词:蚂蚁算法 混合离散变量 稳健优化设计 

分 类 号:TH122[机械工程—机械设计及理论]

 

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