Application of neural network to interactive physical programming

Authors:
Hongzhong Huang;Zhigang Tian
Affiliations:
School of Mechatronics Engn., University of Electronic Science and Technology of China, Chengdu, Sichuan, China;Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Year:
2005

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Abstract

A neural network based interactive physical programming approach is proposed in this paper. The approximate model of Pareto surface at a given Pareto design is developed based on neural networks, and a map from Pareto designs to their corresponding evaluation values is built. Genetic algorithms is used to find the Pareto design that best satisfies the designer's local preferences. An example is given to illustrate the proposed method.