A Semi-Automated Solution Approach Selection Tool for Any Use Case via Scopus and OpenAI: a Case Study for AI/ML in Oncology

no code implementations • 10 Jul 2023 • Deniz Kenan Kılıç, Alex Elkjær Vasegaard, Aurélien Desoeuvres, Peter Nielsen

In today's vast literature landscape, a manual review is very time-consuming.

On the Fitness Landscapes of Interdependency Models in the Travelling Thief Problem

no code implementations • 28 Feb 2022 • Mohamed El Yafrani, Marcella Scoczynski, Myriam Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner

Since its inception in 2013, the Travelling Thief Problem (TTP) has been widely studied as an example of problems with multiple interconnected sub-problems.

MATE: A Model-based Algorithm Tuning Engine

no code implementations • 27 Apr 2020 • Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen

In contrast to most static (feature-independent) algorithm tuning engines such as irace and SPOT, our approach aims to derive the best parameter configuration of a given algorithm for a specific problem, exploiting the relationships between the algorithm parameters and the features of the problem.

Symbolic Regression