摘要
利用改进遗传规划(IGP)求解热集成精馏系统综合问题,结合化工领域知识设计了独特的编码方案,同时对进化操作加以专业指导。通过对操作压力进行离散化处理,将其与结构变量同时优化,实现了各种热集成精馏系统的自动搜索寻优。经实例计算表明,该算法能够快速准确地求解大规模的此类问题。
This paper employs Improved Genetic Programming （IGP） to investigate heat distillation system integration. A special encoding method is developed, and evolution operations are directed according to relevant knowledge of chemical engineering. The operation pressures were discrete to optimize with structural variables together, which makes an integrating distillation system optimization via searching automatically. Calculations demonstrate that the above-mentioned algorithm can solve the complex problems rapidly.
出处
《青岛科技大学学报（自然科学版）》
CAS
2007年第3期219-222,233,共5页
Journal of Qingdao University of Science and Technology:Natural Science Edition
关键词
改进遗传规划
精馏系统综合
热集成
优化
improved genetic programming
distillation system integration
heat integration
optimization
