|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
Creating Evolutionary Algorithms By Means Of Analytic Programming –
Design Of New Cost Function |
Authors: |
Zuzana Oplatková, Ivan Zelinka |
Published in: |
ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
Citation
format: |
Oplatkova, Z., & Zelinka,
I. (2007). Creating Evolutionary Algorithms By Means Of Analytic Programming
– Design Of New Cost Function. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 271-276).
European Council for Modeling and Simulation. doi:10.7148/2007-0271. |
DOI: |
http://dx.doi.org/10.7148/2007-0271 |
Abstract: |
This contribution deals with a new
idea of how to create evolutionary algorithms by means of symbolic regression
and Analytic Programming. The motivation was not only to tune some existing
algorithms to their better performance, but also to find a new robust
evolutionary algorithm. In this study operators of Differential Evolution
(DE), SelfOrganizing Migrating Algortithm
(SOMA), Hill Climbing were used during a process of
Analytic Programming. The results showed that AP was able to find the
originally defined DE, but also new structure which
has a similar behaviour but slower convergence in
multimodal function than DE. This, in further work, leads to including the
conditions of convergence to CostFunction. Results
produced in 100 repeated simulations are displayed in graphical and tabular
form. |
Full
text: |