A parameter free filled function for unconstrained global optimization

Volume: 215, Issue: 10, Pages: 3610 - 3619
Published: Jan 1, 2010
Abstract
The filled function method is considered as an efficient method to find the global minimum of multidimensional functions. A number of filled functions were proposed recently, most of which have one or two adjustable parameters. However, there is no efficient criterion to choose the parameter appropriately. In this paper, we propose a filled function without parameter. And this function includes neither exponential terms nor logarithmic terms so...
Paper Details
Title
A parameter free filled function for unconstrained global optimization
Published Date
Jan 1, 2010
Volume
215
Issue
10
Pages
3610 - 3619
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.