摘要
研究了化工过程模拟优化的一类新方法——过程演变优化方法，提出基于ＤＮＮ（动态人工神经网络）的动态算法的统一框架，阐明其并行分布计算特性，并给出一些基于过程规划的计算动力学模型。
The evalutionary optimizaton algorithms are a new class of optimization methods. In this paper, evalutionary dynamical algorithms for process simulation and optimization are studied on the basis of dynamical neural network, so that a general framework of the dynamical algorithms and some computation dynmaicas equations are proposed, as well as parallel and distribution features of the algorithms are emphasised.
基金
江苏省自然科学基金
关键词
过程演变优化
DNN
化工过程模拟
模拟
优化
evalutionary optimization for process\ dyramical neural network\ process simulation and optimization
