A new parameter free filled function for solving unconstrained global optimization problems

The filled function method is an efficient approach for finding a global minimizer of global optimization problems. This paper introduces a new filled function which overcomes the drawbacks of sensitivity to parameters, containing exponential or logarithmic terms, discontinuity and non-differentiabi...

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Bibliographic Details

Published in:	International journal of computer mathematics Vol. ahead-of-print; no. ahead-of-print; pp. 1 - 14
Main Author:	Ahmed, A. I.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 02.01.2021 Taylor & Francis Ltd
Subjects:	Algorithms filled function global minimizer Global optimization local minimization Optimization parameter free Parameter sensitivity Unconstrained global optimization
ISSN:	0020-7160, 1029-0265
Online Access:	Get full text
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