๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A Genetic Algorithm for operation optimization of an industrial cogeneration system

โœ Scribed by D.A. Manolas; T.P. Gialamas; C.A. Frangopoulos; D.T. Tsahalis


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
340 KB
Volume
20
Category
Article
ISSN
0098-1354

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Multiobjective optimization of an indust
โœ Ravi Raj Gupta; Santosh K. Gupta ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 251 KB ๐Ÿ‘ 2 views

Multiobjective Pareto optimal solutions for three different grades of nylon-6 produced in an industrial semibatch reactor are obtained by using the adapted Nondominated Sorting Genetic Algorithm (adapted NSGA). The two objective functions minimized are the total reaction time and the concentration o

An approach to configure optimal cogener
โœ S. Roy ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 170 KB ๐Ÿ‘ 2 views

Traditionally, steam-based cogeneration systems have been added to industrial applications as topping cycle or bottoming cycle con"gurations. Such systems frequently require that pressure or steam #ow handling capacity of one or more existing steam headers be enhanced. The aim of this work is to sug

Multiobjective dynamic optimization of a
โœ K. Mitra; K. Deb; Santosh K. Gupta ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 323 KB ๐Ÿ‘ 2 views

The nondominated sorting genetic algorithm (NSGA) is adapted and used to obtain multiobjective Pareto optimal solutions for three grades of nylon 6 being produced in an industrial semibatch reactor. The total reaction time and the concentration of an undesirable cyclic dimer in the product are taken