关键词: 多目标优化, 均匀设计, 神经网络, Pareto遗传算法, CAD模型

Abstract:

A multi-objective direct optimization method based on uniform design and NN-GA was proposed. This method dealed with test project using uniform design principle, utilizing drive characteristics about 3D CAD model, accomplished virtual testing course and data collecting. On the basis of this, taking these data as training sample, a neural network model of nonlinear mapping relations between parameter and object of CAD model was established. Applying Pareto genetic algorithm and niche technique, Multi-Objective Parameters Optimization of CAD model was done. A Pareto optimal set of CAD model can be found in specific extent.

Key words: multi-objective optimization, uniform design, neural network, Pareto genetic algorithm, CAD model