Size Optimization Using Normalized Radial Basis Function and Bat Algorithm

Tamiru Alemu Lemma; Mohd Hashim Fakhruldin

doi:10.4028/www.scientific.net/AMR.845.631

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 845Size Optimization Using Normalized Radial Basis...

Size Optimization Using Normalized Radial Basis Function and Bat Algorithm

Abstract:

This paper is intended to demonstrate the use of normalized radial basis function (NRBF) network and Bat Algorithm (BA) for size optimization of a mechanical part under static loading. The data needed for developing the NRBF model is generated simulating a parameterized CAD model in ANSYS Workbench 14.5. Plausible input data for the CAD model is created using Latin Hypercube Sampling (LHS) method. A torque arm is considered to proof the concept. The comparison between the result obtained from the proposed method and the solution from ANSYS Workbench itself shows that, the NRBF-BA model is indeed effective in providing a reasonable solution for a moderately complex problem.

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Periodical:

Advanced Materials Research (Volume 845)

Pages:

631-636

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.845.631

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Online since:

December 2013

Authors:

Tamiru Alemu Lemma*, Mohd Hashim Fakhruldin

Keywords:

Bat Algorithm, Radial Basis Function (RBF), Size Optimization

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