Processes synthesis and design of distillation sequences using modular simulators: a genetic algorithm framework

An optimization framework is proposed in this work for the synthesis and design of complex distillation sequences, based on a modified genetic algorithm (GA) coupled with a sequential process simulator. The use of a simulator facilitates the formulation of rigorous models for different process alter...

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Bibliographic Details
Published in:Computers & chemical engineering Vol. 28; no. 8; pp. 1223 - 1236
Main Authors: Leboreiro, Jose, Acevedo, Joaquin
Format: Journal Article
Language:English
Published: Elsevier Ltd 15.07.2004
Subjects:
Distillation sequences
Genetic algorithms
Process optimization
Process simulation
Process optimization
Process simulation
Genetic algorithms
Distillation sequences
ISSN:0098-1354, 1873-4375
Online Access:Get full text
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Summary:An optimization framework is proposed in this work for the synthesis and design of complex distillation sequences, based on a modified genetic algorithm (GA) coupled with a sequential process simulator. The use of a simulator facilitates the formulation of rigorous models for different process alternatives, while the genetic algorithm allows the solutions of the complex non-convex mathematical problem, involving discrete and continuous decisions. To reduce the computational requirements of the optimization procedure, several strategies are proposed, including a novel stopping criterion, which provides an efficient way to end the calculations when the optimal solution has been found. The implementation of these strategies resulted in reductions up to 60% in CPU time for the synthesis of complex distillation systems, succeeding in problems where deterministic mathematical algorithms had failed.
Bibliography:ObjectType-Article-2
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content type line 23
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2003.06.003