Global Optimization Method Based on Incremental Radial Basis Functions

Xin Wei; Yi Zhong Wu; Li Ping Chen

doi:10.4028/www.scientific.net/AMM.121-126.3950

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Global Optimization Method Based on Incremental...

Global Optimization Method Based on Incremental Radial Basis Functions

Abstract:

Global optimization techniques have been used extensively due to their capability in handling complex engineering problems. Metamodel becomes effective method to enhance global optimization. In this paper, we propose a new global optimization method base on incremental metamodel. At each sampling step, we adopt inherited Latin HyperCube design to sample points step by step, and propose a new incremental metamodel to update the cofficient matrix gradually. Experiments proved that the global optimization method has highest efficiency and can be finding global minimum fastly.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

3950-3954

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.3950

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Online since:

October 2011

Authors:

Xin Wei, Yi Zhong Wu, Li Ping Chen

Keywords:

Global Optimization, Incremetal Radial Basis Functions, Inherited Latin Hypercube Design, Metamodel

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