Global Optimization Method Based on Incremental Radial Basis Functions

Abstract:

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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.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

3950-3954

DOI:

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

Citation:

X. Wei et al., "Global Optimization Method Based on Incremental Radial Basis Functions", Applied Mechanics and Materials, Vols. 121-126, pp. 3950-3954, 2012

Online since:

October 2011

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Price:

$35.00

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