| 基于支持向量机的多目标模糊稳健优化设计 |
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| 引用本文： | 任丕顺.基于支持向量机的多目标模糊稳健优化设计[J].装备制造技术,2011(9):67-70. |
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| 作者姓名： | 任丕顺 |
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| 作者单位： | 湖南机电职业技术学院机械工程系,湖南长沙,410000 |
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| 基金项目： | 湖南省科技计划项目(2010FJ3054) |
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| 摘 要： | 为了提高模糊稳健优化设计的计算效率,探讨了基于支持向量机回归机(SVR)的多目标模糊稳健设计方法,该方法以SVR作为非线性约束函数的替代模型,并采用SVR对模糊概率进行仿真计算,可显著降低模糊稳健优化设计的机时消耗;采用字典序优先级的目标规划法,建立了多目标稳健优化设计模型;把SVR与遗传算法相结合,构建了一种混合智能优化算法;通过多目标稳健设计实例,对所提出的方法进行了验证。
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| 关 键 词： | 多目标优化 模糊稳健设计 支持向量机 优化设计 |
Multi-Objective Fuzzy-Robust Design Optimization Based on Support Vector Regression |
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| Authors: | REN Pi-shun |
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| Affiliation: | REN Pi-shun (Hunan Mechanical & Electrical Polytechnic,Changsha 410000,China) |
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| Abstract: | In order to improve the computational efficiency of fuzzy-robust design optimization,a fuzzy-robust design method using support vector regression(SVR) is proposed.A support vector regression is used as a surrogate model of the stochastic simulation method for computing the fuzzy probability,and the computational cost of fuzzy-robust design optimization can be distinctly cut down.Lexicographic goal programming approach is used to model the problem of multi-objective robust design optimization.With genetic al... |
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| Keywords: | multi-objective optimization fuzzy-robust design support vector machine optimization design |
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