Sankararao, B. ; Gupta, Santosh K. (2006) Multiobjective optimization of the dynamic operation of an industrial steam reformer using the jumping gene adaptations of simulated annealing Asia-Pacific Journal of Chemical Engineering, 1 (1-2). pp. 21-31. ISSN 1932-2135
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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/apj.4/a...
Related URL: http://dx.doi.org/10.1002/apj.4
Abstract
The performance of the evolutionary technique, multiobjective simulated annealing (MOSA), is improved by the use of adaptations inspired by the concept of jumping genes in biology, because of the added diversity. A computationally intensive, real-life, two-objective problem in chemical engineering, namely, the optimization of an industrial steam reformer operating under unsteady-state conditions, is studied. Sets of nondominated solutions obtained using MOSA and its jumping gene (JG) adaptations are compared with those obtained earlier using a nondominated sorting genetic algorithm (NSGA-II). Good agreement between the results obtained by several algorithms is observed. The aJG adaptation of MOSA leads to nondominated optimal solutions having a good maximum spread and reasonable spacing of the points.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to John Wiley and Sons, Inc. |
| Keywords: | Steam Reformer; Pareto Set; Multiobjective Optimization; Jumping Gene; Genetic Algorithm; Simulated Annealing |
| ID Code: | 14237 |
| Deposited On: | 12 Nov 2010 08:47 |
| Last Modified: | 02 Jun 2011 08:26 |
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