Meta-heuristic Coefficient for Indexing Geometric Objects in Hierarchical Spatial Data-Structures. - Gerdys E. Jiménez Moya; Jairo Rojas-Delgado (POLIBITS, 2017)

Training Neural Networks by Continuation Particle Swarm Optimization. - Jairo Rojas-Delgado; Rafael A. Trujillo-Rasúa (IWAIPR, 2018)

Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning. - Jairo Rojas-Delgado; Vladimir Milián Núñez; Rafael A. Trujillo-Rasúa; Rafael Bello 001 (CIARP, 2019)

Video Popularity Forecasting to Improve Cache Miss Rate in Content Delivery Networks. - Jairo Rojas-Delgado; Rafael A. Trujillo-Rasúa; Rafael Bello 001; Gerdys E. Jiménez Moya (CIARP, 2019)

A continuation approach for training Artificial Neural Networks with meta-heuristics. - Jairo Rojas-Delgado; Rafael A. Trujillo-Rasúa; Rafael Bello 001 (Pattern Recognit. Lett., 2019)

A Computational Approach to Finding SEIR Model Parameters that best Explain Infected and Recovered Time Series for SARS-CoV 2. - Jairo Rojas-Delgado; Mario Pupo-Meriño; Jorge Gulín-González (Computación y Sistemas, 2021)

Hyper-parameter Optimization Using Continuation Algorithms. - Jairo Rojas-Delgado; J. A. Jiménez; Rafael Bello 001; José Antonio Lozano 001 (MIC, 2022)

Bayesian Performance Analysis for Algorithm Ranking Comparison. - Jairo Rojas-Delgado; Josu Ceberio; Borja Calvo; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2022)

A revisited branch-and-cut algorithm for large-scale orienteering problems. - Gorka Kobeaga; Jairo Rojas-Delgado; María Merino 001; José Antonio Lozano 001 (Eur. J. Oper. Res., 2024)