Please use this identifier to cite or link to this item:
|Title:||Optimization of Pooling Problems for Two Objectives Using the ε-Constraint Method|
|Source:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 15, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.