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
A Genetic Algorithm for operation optimization of an industrial cogeneration system
โ 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
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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
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