Comparative numerical results on HANSO (Hybrid Algorithm for Nonsmooth Optimization)
Ali Hakan Tor

TL;DR
This paper provides a detailed overview of the HANSO software, analyzing its algorithms, robustness, and accuracy for nonsmooth optimization, aiding researchers in selecting appropriate free tools.
Contribution
It offers a comprehensive analysis of HANSO's algorithms, robustness, and accuracy, filling a gap in comparative information about free nonsmooth optimization software.
Findings
HANSO's algorithms are effective for nonsmooth optimization tasks.
The software demonstrates high robustness across tested problems.
HANSO achieves accurate solutions in various scenarios.
Abstract
The purpose of this study is to give an opinion on which software should be used by researchers working in applied fields when using free software found in the literature. Of course, this study is not enough alone as there is no comparison with other free software, but this study provides comprehensive information about the algorithms used by the Hybrid Algorithm for Non-smooth Optimization software, known as HANSO. In addition to this information, the robustness and the accuracy of this software are discussed in this study.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Optimization and Variational Analysis · Metaheuristic Optimization Algorithms Research
