TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 17, No 4: August 2019

Solving one-dimensional unconstrained global optimization problem using parameter free filled function method

Ismail Bin Mohd (Laboratory of Statistical Computational and Operation Research, Institute of Mathematical Research, UPM)
Yosza Dasril (Univerisiti Teknikal Malaysia Melaka (UTeM))
Ridwan Pandiya (Institut Teknologi Telkom Purwokerto)
Herlina Napitupulu (Universitas Padjadjaran)



Article Info

Publish Date
01 Aug 2019

Abstract

It is generally known that almost all filled function methods for one-dimensional unconstrained global optimization problems have computational weaknesses. This paper introduces a relatively new parameter free filled function, which creates a non-ascending bridge from any local isolated minimizer to other first local isolated minimizer with lower or equal function value. The algorithm’s unprecedented function can be used to determine all extreme and inflection points between the two considered consecutive local isolated minimizers. The proposed method never fails to carry out its job. The results of the several testing examples have shown the capability and efficiency of this algorithm while at the same time, proving that the computational weaknesses of the filled function methods can be overcomed.

Copyrights © 2019






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...