ACADSTAFF UGM

CREATION
Title : A Novel Parameter-Free Filled Function Applied to Global Optimization
Author :

RIDWAN PANDIYA (1) Prof. Dr. Salmah, M.Si. (2) Prof. Dr. rer.nat. Widodo, M.S. (3) Dr. Irwan Endrayanto Aluicius, S.Si., M.Sc. (4)

Date : 23 2021
Keyword : Global optimization, filled function method, nonlinear programming, global minimizer, auxiliary function approach. Global optimization, filled function method, nonlinear programming, global minimizer, auxiliary function approach.
Abstract : In this paper, we mainly propose a new parameterfree filled function, which derives from two inverse trigonometric functions. First, we accomplish the analytical studies,to prove that filled function proposed in this paper possess all the properties of filled function. Secondly, based on this parameter-free filled function, a comparatively new algorithm was built. Finally, we implemented the algorithm to solve unconstrained global optimization problems. The computational results demonstrated in this paper revealed the effectiveness of the proposed filled function compared to some related results of the filled functions in the literature
Group of Knowledge : Matematika
Original Language : English
Level : Internasional
Status :
Published
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