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
Multiobjective optimization of an industrial semibatch nylon 6 reactor
โ Scribed by Rajiv Sareen; Santosh K. Gupta
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 1004 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0021-8995
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๐ SIMILAR VOLUMES
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
In this study, optimal vapor release rate (or pressure) histories have been generated for an industrial semi-batch nylon 6 reactor using Pontryagin's minimum principle. The batch time has been taken as the objective function, which is to be minimized. The pressure is constrained to lie between a low