基于正交设计NSGA-Ⅱ算法的制动器多目标优化  

Multi-objective optimization of automotive brake based on orthogonal design of NSGA-Ⅱ

作　　者：张屹[1] 陈平[1] 万兴余 

机构地区：[1]三峡大学机械与动力学院,湖北宜昌443002

出　　处：《计算机应用研究》2016年第3期720-725,共6页Application Research of Computers

基　　金：国家自然科学基金资助项目(51275274)

摘　　要：针对汽车制动器的多目标优化问题进行了研究,建立了以制动效能因数最大、制动鼓体积最小和制动器温升最低的多目标优化模型。针对传统NSGA-Ⅱ算法求解三目标优化问题的不足,引入正交设计策略,提出了一种基于正交设计NSGA-Ⅱ的改进算法。将改进算法同时与NSGA-Ⅱ、PAES、MOCell三种经典的优化算法在DTLZ系列测试函数上进行性能测试,结果表明改进算法在求解三目标优化问题上具有更好的性能。用改进算法和NSGA-Ⅱ两种算法同时求解制动器的多目标优化算例,改进算法得到了分布更好的Pareto前端,表明改进算法对此类多目标优化问题求解行之有效。This paper studied the multi-objective optimization problem of drum brake,and established a multi-objective optimization model with the objective of maximizing the braking efficiency,minimizing the volume and temperature rise. As the deficiency of classic non-dominated sorting genetic algorithm Ⅱ（ NSGA-Ⅱ） in solving the three target optimization problems,it proposed an improved algorithm（ OXNSGA-Ⅱ） by introducing orthogonal design strategy into the NSGA-Ⅱ. The experiments on a series of DTLZ test functions show that the improved algorithm has better performance than NSGA-Ⅱ,Pareto archived evolution strategy（ PAES） and cellular genetic algorithm for multiobjective optimization（ MOCell） in solving three target optimization problems. The results of optimizing the brake design instance reveal that the improved algorithm can find better-distributed Pareto front than NSGA-Ⅱ,and it is useful in solving this kind of multiobjective optimization problems.

关 键 词：制动器 多目标优化 改进算法 正交设计 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]