Original paper
Solving one-dimensional unconstrained global optimization problem using parameter free filled function method
Volume: 17, Issue: 4, Pages: 2125 - 2125
Published: Aug 1, 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...
Paper Details
Title
Solving one-dimensional unconstrained global optimization problem using parameter free filled function method
Published Date
Aug 1, 2019
Volume
17
Issue
4
Pages
2125 - 2125
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