Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (GECCO Companion, 2021)

A Regularized Approach For Respiratory Motion Estimation From Short-Time Projection Data Frames In Emission Tomography. - Andoni I. Garmendia; Yongyi Yang; Chao Song; Miles N. Wernick; P. Hendrik Pretorius; Michael A. King (ICIP, 2021)

Data-Driven Approach For Respiratory Motion Correction In Cardiac Spect Data. - Andoni I. Garmendia; Yongyi Yang; Chao Song; Miles N. Wernick; P. Hendrik Pretorius; Michael A. King (ISBI, 2021)

Neural Combinatorial Optimization: a New Player in the Field. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CoRR, 2022)

Neural Improvement Heuristics for Preference Ranking. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CoRR, 2022)

Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CAEPIA, 2024)

Neural Combinatorial Optimization by Means of Partial Solution Strategies. - Andoni Irazusta Garmendia; Josu Ceberio; Alexander Mendiburu (CEC, 2024)

Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. - Andoni I. Garmendia; Francesco Morri; Quentin Cappart; Hélène Le Cadre (ECAI, 2024)

MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. - Andoni I. Garmendia; Quentin Cappart; Josu Ceberio; Alexander Mendiburu (IJCAI, 2024)

Applicability of Neural Combinatorial Optimization: A Critical View. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (ACM Trans. Evol. Learn. Optim., 2024)

Neural Improvement Heuristics for Graph Combinatorial Optimization Problems. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (IEEE Trans. Neural Networks Learn. Syst., 2024)