摘要
提出了一种可用于复杂精馏系统综合的改进遗传规划算法,利用其独特的层次化结构来直观地表达问题。该算法利用遗传规划优化结构变量的同时,采用个体学习模式对某些连续变量进行优化,并采用化工领域知识对进化操作加以指导,显著提高了计算效率。计算表明,本算法可以快速准确地求解大规模复杂精馏系统优化综合问题。
An Improved Genetic Programming algorithm （IGP） was developed for the synthesis of complex distillation systems. The algorithm uses Genetic Programming to optimize structural variables and uses function of individual study to optimize continuous variables. Moreover, domain knowledge of chemical engineering was used to guide evolution operation and the calculation efficiency could be enhanced evidently. The calculation results demonstrated that IGP could solve the problems of optimization synthesis for large-scale complex distillation system rapidly.
出处
《青岛科技大学学报（自然科学版）》
CAS
2006年第3期214-218,共5页
Journal of Qingdao University of Science and Technology:Natural Science Edition
关键词
遗传规划
复杂精馏系统
优化
综合
Genetic Programming
complex distillation system
optimization
synthesis
