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Optimal design of multiproduct batch chemical plant using NSGA-II

Sarkar, Debasis and Modak, Jayant M (2006) Optimal design of multiproduct batch chemical plant using NSGA-II. In: Asia-Pacific Journal of Chemical Engineering, 1 (1-2). pp. 13-20.

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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/apj.3/a...

Abstract

The optimal design of a multiproduct batch chemical plant is formulated as a multiobjective optimization problem, and the resulting constrained mixed-integer nonlinear program (MINLP) is solved by the nondominated sorting genetic algorithm approach (NSGA-II). By putting bounds on the objective function values, the constrained MINLP problem can be solved efficiently by NSGA-II to generate a set of feasible nondominated solutions in the range desired by the decision-maker in a single run of the algorithm. The evolution of the entire set of nondominated solutions helps the decision-maker to make a better choice of the appropriate design from among several alternatives. The large set of solutions also provides a rich source of excellent initial guesses for solution of the same problem by alternative approaches to achieve any specific target for the objective functions

Item Type: Journal Article
Additional Information: Copyright of this article belongs to John Wiley & Sons.
Keywords: mixed integer nonlinear programming;nondominated sorting genetic algorithm;multiobjective optimization;batch plant; design.
Department/Centre: Division of Mechanical Sciences > Chemical Engineering
Date Deposited: 31 Aug 2010 05:08
Last Modified: 19 Sep 2010 06:12
URI: http://eprints.iisc.ernet.in/id/eprint/30447

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