General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: ijcte@iacsitp.com
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Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2014 Vol.6(3): 272-277 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.874

A Numerical Evaluation of an Infill Sampling Criterion in Artificial Neural Network-Based Optimization

Han Li, Leonardo Gutierrez, Masakazu Kobayashi, Osamu Kuwazuru, Hiroyuki Toda, and Rafael Batres

Abstract—Surrogate models can be used to replace expensive computer simulations for the purposes of optimization. In this paper, we propose an optimization approach based on artificial neural network (ANN) surrogate models and infill sampling criteria (ISC) strategy to evaluate design variables. The criterion for infill sample selection is a function which aims at identify design that offer potential improvement. We employ four widely used analytical benchmark problems to test the proposed approach. Our results show that a more accurate surrogate model obtained with fewer points is obtained when one includes the infill sample criterion to an ANN-based optimization.

Index Terms—Surrogate model, design variables, artificial neural network, infill sampling criteria, optimization, benchmark function.

Han Li, Leonardo Gutierrez, Rafael Batres, and Masakazu Kobayashi are with the Department of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan (e-mail: {lihan, Leonardo}@ise.me.tut.ac.jp; m-kobayashi@me.tut.ac.jp; rbp@tut.jp).
Osamu Kuwazuru is with the Department Nuclear Power & Energy Safety Engineering, University of Fukui, Fukui 910-8507, Japan (e-mail: kuwa@u-fukui.ac.jp).
Hiroyuki Toda is with the Department of Mechanical Engineering, Kyushu University, Kyushu, Japan (e-mail: toda@mech.kyushu-u.ac.jp).

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Cite:Han Li, Leonardo Gutierrez, Masakazu Kobayashi, Osamu Kuwazuru, Hiroyuki Toda, and Rafael Batres, "A Numerical Evaluation of an Infill Sampling Criterion in Artificial Neural Network-Based Optimization," International Journal of Computer Theory and Engineering vol. 6, no. 3, pp. 272-277, 2014.


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