Please use this identifier to cite or link to this item: https://doi.org/10.1002/9781118341704.ch2
Title: Optimization of Pooling Problems for Two Objectives Using the ε-Constraint Method
Authors: Zhang, H.
Rangaiah, G.P. 
Keywords: ε-constraint method
Differential evolution
Multi-objective optimization
Pooling problem
Issue Date: 2-Apr-2013
Citation: Zhang, H.,Rangaiah, G.P. (2013-04-02). Optimization of Pooling Problems for Two Objectives Using the ε-Constraint Method. Multi-Objective Optimization in Chemical Engineering: Developments and Applications : 17-34. ScholarBank@NUS Repository. https://doi.org/10.1002/9781118341704.ch2
Abstract: Pooling problems are optimization problems of importance in petroleum refineries. They contain bilinear terms, which lead to nonconvex optimization problems, each with multiple minima. Hence, a global optimization method is required to find the optimal solutions to pooling problems. The solutions to pooling problems for single objectives have been studied using many deterministic global optimization algorithms. However, there has been no attempt to solve industrially important pooling problems for multiple objectives. Hence, in this chapter, pooling problems are optimized for two objectives using the ε-constraint method along with a recent stochastic global optimization algorithm, namely, integrated differential evolution. Further, a new formulation that does not involve equality constraints for pooling problems is described and used. Using this formulation, many pooling problems from the literature are optimized for two objectives, and the results demonstrate the potential of multi-objective optimization for finding tradeoff solutions for pooling problems. © 2013 John Wiley & Sons, Ltd.
Source Title: Multi-Objective Optimization in Chemical Engineering: Developments and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/90809
ISBN: 9781118341667
DOI: 10.1002/9781118341704.ch2
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