|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
Multi-Resolution Optimisation: Application
Of Meta-Heuristic In Function Remodelling |
Authors: |
Cheng Wai Kheng, Siang Yew Chong, Andrzej
Bargiela |
Published in: |
(2009).ECMS
2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel
Pedrera. European Council for Modeling and
Simulation. doi:10.7148/2009 ISBN: 978-0-9553018-8-9 23rd
European Conference on Modelling and Simulation, Madrid, June
9-12, 2009 |
Citation
format: |
Kheng, C. W., Chong, S. Y., & Bargiela, A. (2009). Multi-Resolution Optimisation:
Application Of Meta-Heuristic In Function Remodelling. ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L.
Montes, L. M. Doncel Pedrera (pp. 834-840). European Council for
Modeling and Simulation. doi:10.7148/2009-0834-0840 |
DOI: |
http://dx.doi.org/10.7148/2009-0834-0840 |
Abstract: |
Multi-resolution approach to optimisation involving remodelling
of objective function has great received interests
lately. There are two different goals of remodelling
for the objective function. First, the reduction of computational complexity
of the objective functions in order to accelerate the searching process.
Second, the removal of local optima in the objective functions to avoid
premature convergence. Most of the approach shares the problem: the setting
of the smoothness pressure value over the objective function. We proposed a
meta-heuristic approach to determine the suitable smoothness pressure value
throughout the searching process. The results show that meta-heuristic has
significant improvement compared to state-of-the- art Classic Evolutionary
Programming (CEP) and Fast Evolutionary Programming (FEP). |
Full
text: |