Investigation on Evolutionary Control and Optimization of Chemical Reactor
This contribution deals with a new algorithm – the Self-Organizing Migrating Algorithm (SOMA). The SOMA algorithm was used for static optimization of a given chemical reactor with 5 inputs and 5 outputs. SOMA was used on this reactor for static optimization because the reactor, which was set by an expert, shows poor performance behaviour. Participation consists of simulation results, which shows how expertly set reactor behaves. Also set of static optimization simulations of given reactor is presented here including results and conclusions.
KeywordsSOMA migration self-organization evolutionary algorithms global optimization non-linear optimization mixed discrete variables penalty function
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- 1.Zelinka, I., Snasel, V., Abraham, A. (eds.): Handbook of Optimization. In: Intelligent Systems. Springer (2012) Google Scholar
- 2.Ivan, Z., Jouni, L.: SOMA - Self- Organizing Migrating Algorithm Mendel. In: 6th International Conference on Soft Computing, Brno, Czech Republic (2000) ISBN 80-214-1609-2 Google Scholar
- 3.Ivan, Z.: SOMA - Self-Organizing Migrating Algorithm Nostrdamus. In: 3rd International Conference on Prediction and Nonlinear Dynamic, Zlín, Czech Republic (2000) Google Scholar
- 4.Zelinka, I.: SOMA – Self Organizing Migrating Algorithm. In: Babu, B.V., Onwubolu, G. (eds.) New Optimization Techniques in Engineering, pp. 167–218. Springer, New York (2004) ISBN 3-540-20167X Google Scholar
- 5.Zelinka, I., Celikovsky, S., Richter, H., Chen, G.: Evolutionary Algorithms and Chaotic Systems. 550s, Springer, Germany (2010) Google Scholar