Distillation separation sequence optimization synthesis based on application of adaptive parallel tabu search

• Published in: Journal of the Chinese Institute of Engineers Vol. 28; no. 3; pp. 493 - 501
• Main Authors: Dong, Hong-Guang, Qin, Li-Min, Wang, Tao, Yao, Ping-Jing
• Format: Journal Article
• Language: English
• Published: Taylor & Francis Group 01.05.2005
• Subjects: adaptive parallel tabu search; distillation separation sequences; neighborhood superstructure; optimization synthesis
• ISSN: 0253-3839; 2158-7299
• DOI: 10.1080/02533839.2005.9671015

Distillation separation sequences can be described as binary tree data structures, because of the analogous structures of distillation separation sequences and binary trees, and then by applying graph theory, the change mechanism of neighborhood separation points based on binary trees is built, correspondingly a kind of highly effective, evolutionary neighborhood structure is constructed. For the purpose of researching further tabu search algorithms, adaptive mechanisms and parallel techniques are introduced. That is, according to memory frequency information, the tabu length and the number of candidates are adaptively adjusted, and multitask parallel technology is realized through the arrangement of the search assignments. The example shows that adaptive parallel tabu searches can solve, successfully, large-scale distillation separation sequence synthesis problems.