This paper presents a novel continuous-state system model for optimal design of parallel–series systems when both cost and reliability are considered. The advantage of a continuous-state system model is that it represents realities more accurately than discrete-state system models. However, using conventional optimization algorithms to solve the optimal… (More)

@article{Liu2003UsingNN,
title={Using neural network function approximation for optimal design of continuous-state parallel-series systems},
author={Peter Xiaoping Liu and Ming Jian Zuo and Max Q.-H. Meng},
journal={Computers & OR},
year={2003},
volume={30},
pages={339-352}
}