Optimal Design of Multiproduct Batch Chemical Process Using Genetic Algorithms

For the first time, genetic algorithms (GAs) are applied to the optimal design of the multiproduct batch chemical process (MBCP) successfully. An effective multiparameter crossed binary coding method is developed. The GAs have the advantages of no special demand for initial values of decision variab...

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Veröffentlicht in:	Industrial & engineering chemistry research 1996, Vol.35 (10), p.3560-3566
Hauptverfasser:	Wang, Chunfeng, Quan, Hongyin, Xu, Xien
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences Chemical engineering Exact sciences and technology
Online-Zugang:	Volltext
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