1 code implementation • 13 Feb 2024 • Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa
The ability of Large Language Models (LLMs) to generate high-quality text and code has fuelled their rise in popularity.
1 code implementation • 6 Feb 2024 • Francisco Chicano, Gabriela Ochoa, Darrell Whitley, Renato Tinós
In this paper, we present a recombination operator, called Dynastic Potential Crossover (DPX), that runs in polynomial time and behaves like an optimal recombination operator for low-epistasis combinatorial problems.
no code implementations • 31 Jul 2023 • Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha
In terms of decision space behavior, we see a diverse set of the trajectories of the STNs in the analytical artificial problems.
no code implementations • 15 Nov 2022 • Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Genotype-to-phenotype mappings translate genotypic variations such as mutations into phenotypic changes.
1 code implementation • 25 Mar 2022 • Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha
This study introduces a new methodology to investigate the effects of the final configuration of an automatically designed algorithm.
1 code implementation • 27 Jan 2022 • Yuri Lavinas, Claus Aranha, Gabriela Ochoa
Understanding the search dynamics of multiobjective evolutionary algorithms (MOEAs) is still an open problem.
no code implementations • 12 Feb 2014 • Gabriela Ochoa, Sébastien Verel, Fabio Daolio, Marco Tomassini
This chapter overviews a recently introduced network-based model of combinatorial landscapes: Local Optima Networks (LON).