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利用人工神经网络和遗传算法对热偶精馏过程进行模拟优化

王延敏; 姚平经   

  1. School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2003-06-28 发布日期:2003-06-28
  • 通讯作者: 王延敏

Simulation and Optimization for Thermally Coupled Distillation Using Artificial Neural
Network and Genetic Algorithm

WANG Yanmin; YAO Pingjing   

  1. School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2003-06-28 Published:2003-06-28
  • Contact: WANG Yanmin

摘要: In this paper, a new approach using artificial neural network and genetic algorithm for the
optimizationof the thermally coupled distillation is presented. Mathematical model can be
constructed with artificial neuralnetwork based on the simulation results with ASPEN PLUS.
Modified genetic algorithm was used to optimize themodel. With the proposed model and
optimization arithmetic, mathematical model can be calculated, decisionvariables and target
value can be reached automatically and quickly. A practical example is used to
demonstratethe algorithm.

关键词: thermally coupled distillation;neural network;genetic algorithm;simulation; optimization;ASPEN PLUS

Abstract: In this paper, a new approach using artificial neural network and genetic algorithm for the
optimizationof the thermally coupled distillation is presented. Mathematical model can be
constructed with artificial neuralnetwork based on the simulation results with ASPEN PLUS.
Modified genetic algorithm was used to optimize themodel. With the proposed model and
optimization arithmetic, mathematical model can be calculated, decisionvariables and target
value can be reached automatically and quickly. A practical example is used to
demonstratethe algorithm.

Key words: thermally coupled distillation, neural network, genetic algorithm, simulation, optimization, ASPEN PLUS