Josu Ceberio

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Assistant Professor

University of the Basque Country

Spain

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About

Josu Ceberio is an Assistant Professor at the University of the Basque Country (UPV/EHU) in Spain. His research focuses on combinatorial optimization, particularly in the application of Fourier transforms and neural combinatorial optimization. He has contributed to various studies on vaccination strategies using Bayesian optimization, as well as optimization frameworks for generative models. His recent publications reflect a commitment to advancing methodologies in algorithm performance analysis and combinatorial problems.

Recent Grants

Grant: Close

Learning from Combinatorial Optimization Problems and Proposing Efficient Algorithmic Approaches

Open Date: 2020-06-01

Close Date: 2022-12-01

Grant: Close

ESSnet Big Data II y asesoria en tecnicas de machine learning

Open Date: 2019-05-01

Close Date: 2019-12-01

Grant: Close

PROMISE - Avances en la Investigación de la Operación y Mantenimiento en Energía Solar Fotovoltaica

Open Date: 2019-01-01

Close Date: 2019-12-01

Grant: Close

Intelligent Systems Group – IT1244-19

Open Date: 2019-01-01

Close Date: 2021-12-01

Grant: Close

Asesoramiento científico-técnico en el área de Industria 4.0

Open Date: 2018-06-01

Close Date: 2019-06-01

Articles (14)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (6)

LETICIA HERNANDO RODRIGUEZ

University of the Basque Country

SPAIN

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Javier Villanueva-Oller

Profesor Titular

Universidad Rey Juan Carlos

SPAIN

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Valentino Santucci

Associate Professor

University for Foreigners Perugia

ITALY

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Alexander Mendiburu

Full Professor

University of the Basque Country

SPAIN

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Jose Antonio Lozano

University of the Basque Country

SPAIN

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Fidel Liberal

University of the Basque Country

SPAIN

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Josu Ceberio

Research Interests

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About

Recent Grants

Articles (14)

P-NP Instance Decomposition Based on the Fourier Transform for Solving the Linear Ordering Problem

A network-based model to assess vaccination strategies for the COVID-19 pandemic by using Bayesian optimization

A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models

Applicability of Neural Combinatorial Optimization: A Critical View

Neural Improvement Heuristics for Graph Combinatorial Optimization Problems

Transforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses

Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques

Model-based Gradient Search for Permutation Problems

Bayesian Performance Analysis for Algorithm Ranking Comparison

EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization

A roadmap for solving optimization problems with estimation of distribution algorithms

Simulation Framework for Orbit Propagation and Space Trajectory Visualization

Using pairwise precedences for solving the linear ordering problem

Virtual Network Function Placement Optimization With Deep Reinforcement Learning

Collaborators (6)

LETICIA HERNANDO RODRIGUEZ

Javier Villanueva-Oller

Valentino Santucci

Alexander Mendiburu

Jose Antonio Lozano

Fidel Liberal

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