Application of the parallel adaptive genetic simulated annealing algorithm for the synthesis of heat exchanger networks

ABSTRACT A robust hybrid genetic algorithm that can be used to solve process synthesis problems with mixed integer nonlinear programming (MINLP) models is developed. The proposed hybrid approach constructs an efficient genetic simulated annealing algorithm for global search, whereas the iterative hi...

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Vydané v:	Asia-Pacific journal of chemical engineering Ročník 7; číslo 5; s. 660 - 669
Hlavní autori:	Zhao, Chao, Xu, Qiaoling, An, Aimin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Chichester, UK John Wiley & Sons, Ltd 01.09.2012
Predmet:	genetic simulated annealing heat exchanger network synthesis hybrid genetic algorithm iterative hill climbing algorithm mixed integer nonlinear programming (MINLP)
ISSN:	1932-2135, 1932-2143
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