关键词: 工程优化问题, 前向神经网络, 反馈神经网络, 进化算法

Abstract: There are various types engineering optimization problems with different models and methods.This paper divides all the problems into two sorts，black-box optimization and white-box optimization，along with the deduction of their models.For the black-box optimization，the superiority of Feed-forward Neural Network（FNN） on system approximation，and the merits and demerits of Evolutionary Algorithm （EA） and Back Propagation （BP） on the weight values problems are discussed.For the white-box optimization，the merits and demerits of EA and Recurrent Neural Network（RNN），and the survey on popular EAs and their common improvements are discussed.This article provides a more comprehensive cognition on current engineering optimization problem，and the function by neural network and evolutionary algorithm.

Key words: engineering optimization, Feed-forward Neural Network（FNN）, Recurrent Neural Network（RNN）, Evolutionary Algorithm （EA）