Deb, Kalyanmoy ; Mitra, Kishalay ; Dewri, Rinku ; Majumdar, Saptarshi (2004) Unveiling optimal operating conditions for an epoxy polymerization process using multi-objective evolutionary computation Lecture Notes in Computer Science, 3103 . pp. 920-931. ISSN 0302-9743
![]()
|
PDF
- Author Version
714kB |
Official URL: http://www.springerlink.com/content/r173l54arpneyj...
Related URL: http://dx.doi.org/10.1007/978-3-540-24855-2_105
Abstract
The optimization of the epoxy polymerization process involves a number of conflicting objectives and more than twenty decision parameters. In this paper, the problem is treated truly as a multi-objective optimization problem and near-Pareto-optimal solutions corresponding to two and three objectives are found using the elitist non-dominated sorting GA or NSGA-II. Objectives, such as the number average molecular weight, polydispersity index and reaction time, are considered. The first two objectives are related to the properties of a polymer, whereas the third objective is related to productivity of the polymerization process. The decision variables are discrete addition quantities of various reactants e.g. the amount of addition for bisphenol-A (a monomer), sodium hydroxide and epichlorohydrin at different time steps, whereas the satisfaction of all species balance equations is treated as constraints. This study brings out a salient aspect of using an evolutionary approach to multi-objective problem solving. Important and useful patterns of addition of reactants are unveiled for different optimal trade-off solutions. The systematic approach of multi-stage optimization adopted here for finding optimal operating conditions for the epoxy polymerization process should further such studies on other chemical process and real-world optimization problems.
Item Type: | Article |
---|---|
Source: | Copyright of this article belongs to Springer. |
Keywords: | Multi-objective Optimization; Genetic Algorithms; Real-world Optimization; Pareto-optimal Solutions; Chemical Engineering Process Optimization |
ID Code: | 81666 |
Deposited On: | 07 Feb 2012 05:23 |
Last Modified: | 18 May 2016 23:08 |
Repository Staff Only: item control page