Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compchemeng.2006.10.010
Title: A study of finding many desirable solutions in multiobjective optimization of chemical processes
Authors: Tarafder, A. 
Rangaiah, G.P. 
Ray, A.K. 
Keywords: Ethylene reactor optimization
Multi-modal solutions
Multiobjective optimization
Neighbourhood solutions
Secondary objective
Styrene process optimization
Issue Date: Oct-2007
Source: Tarafder, A., Rangaiah, G.P., Ray, A.K. (2007-10). A study of finding many desirable solutions in multiobjective optimization of chemical processes. Computers and Chemical Engineering 31 (10) : 1257-1271. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2006.10.010
Abstract: Multiobjective optimization of chemical processes, has received considerable attention in recent years. It was particularly boosted by the availability of efficient population-based evolutionary algorithms, which have a clear advantage for generating well-distributed Pareto optimal solutions over classical methods. The main focus of these studies has been finding the Pareto optimal solutions, and providing qualitative explanation of the roles and results of the decision variables. Although this is the primary job of an optimization study, the roles played by the decision variables do not get sufficient attention, which they deserve. While the optimal Pareto provides an idea of the best trade-offs between the objectives, the solutions (decision variables) are the means to achieve it. The present study focuses on the situations where multiple solution sets are available to achieve the same or similar objective trade-off. Here, the job does not end with finding the optimal Pareto set and the best objective trade-off from it, but also includes finding the best set of variable solutions to achieve it. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Computers and Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63418
ISSN: 00981354
DOI: 10.1016/j.compchemeng.2006.10.010
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