Application Methods for Genetic Algorithms for the Search of Feed Positions in the Design of a Reactive Distillation Process | Zendy

Lim Kai Tun | Zendy; Hideyuki Matsumoto | Zendy

Open Access

Application Methods for Genetic Algorithms for the Search of Feed Positions in the Design of a Reactive Distillation Process

Author(s) -

Lim Kai Tun,

Hideyuki Matsumoto

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.09.143

Subject(s) - reactive distillation , computer science , process (computing) , genetic algorithm , distillation , algorithm , process engineering , mathematical optimization , machine learning , chemistry , mathematics , organic chemistry , engineering , operating system

An optimization system, that hybridizes a genetic algorithm (GA) application and a process simulator, was developed for the design of a reactive distillation process. Then, the modification of a GA was investigated to expand the search results for a preferable process design from the viewpoint of dynamic operation and control. The application of Multi-Niche Crowding (MNC) algorithm allowed the search to yield various design solutions without causing remarkable performance degradation when searching for the best design in a case study on a distillation process involving the esterification of acetyl acetate. Moreover, it was recognized that the developed system with the MNC algorithm could be applied to search of multiple feeds in a reactive distillation process

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