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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).

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