Multiobjective optimization of the dynamic operation of an industrial steam reformer using the jumping gene adaptations of simulated annealing
| Autor: | B. Sankararao, Santosh K. Gupta |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Engineering
Mathematical optimization Renewable Energy Sustainability and the Environment business.industry General Chemical Engineering Sorting medicine.disease_cause Jumping Genes Multi-objective optimization Steam reforming Jumping Genetic algorithm Simulated annealing medicine business Waste Management and Disposal |
| Zdroj: | Asia-Pacific Journal of Chemical Engineering. 1:21-31 |
| ISSN: | 1932-2143 1932-2135 |
| DOI: | 10.1002/apj.4 |
| Popis: | 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. Copyright © 2006 Curtin University of Technology and John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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