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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Performance Comparison Of Evolutionary Techniques Enhanced By Lozi Chaotic Map In The Task Of Reactor Geometry
Optimization |
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Authors: |
Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra |
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Published in:
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(2014).ECMS 2014 Proceedings edited
by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for
Modeling and Simulation. doi:10.7148/2014 ISBN:
978-0-9564944-8-1 28th
European Conference on Modelling and Simulation, Brescia,
Italy, May 27th – 30th,
2014 |
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Citation
format: |
Michal
Pluhacek, Roman Senkerik,
Ivan Zelinka, Donald Davendra
(2014). Performance Comparison Of Evolutionary
Techniques Enhanced By Lozi Chaotic Map In The Task
Of Reactor Geometry Optimization, ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for Modeling and Simulation. doi:10.7148/2014-0371 |
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DOI: |
http://dx.doi.org/10.7148/2014-0371 |
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Abstract: |
In this study the
performance of two popular evolutionary computational techniques (particle
swarm optimization and differential evolution) is compared in the task of
batch reactor geometry optimization. Both algorithms are enhanced with
chaotic pseudo-random number generator (CPRNG) based on Lozi
chaotic map. It is depicted the course of the reactor processes dynamical
parameters for the best obtained solutions for both
algorithms and numerical values of cost functions are compared. The promising
results are discussed. |
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