Search Results for author: Gabriela Ochoa

Found 7 papers, 4 papers with code

Large Language Models for the Automated Analysis of Optimization Algorithms

1 code implementation13 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.

Dynastic Potential Crossover Operator

1 code implementation6 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.

Multiobjective Evolutionary Component Effect on Algorithm behavior

no code implementations31 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.

Evolutionary Algorithms

Phenotype Search Trajectory Networks for Linear Genetic Programming

no code implementations15 Nov 2022 Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf

Genotype-to-phenotype mappings translate genotypic variations such as mutations into phenotypic changes.

Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems

1 code implementation25 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.

Search Trajectories Networks of Multiobjective Evolutionary Algorithms

1 code implementation27 Jan 2022 Yuri Lavinas, Claus Aranha, Gabriela Ochoa

Understanding the search dynamics of multiobjective evolutionary algorithms (MOEAs) is still an open problem.

Evolutionary Algorithms

Local Optima Networks: A New Model of Combinatorial Fitness Landscapes

no code implementations12 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).

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