On Coarser Interval Temporal Logics and their Satisfiability Problem. - Emilio Muñoz-Velasco; Mercedes Pelegrín-García; Pietro Sala; Guido Sciavicco (CAEPIA, 2015)

Nash equilibria in location games on a network. - Mercedes Pelegrín; Blas Pelegrín (OR Spectr., 2017)

Towards unambiguous map labeling - Integer programming approach and heuristic algorithm. - Alfredo Marín 001; Mercedes Pelegrín-García (Expert Syst. Appl., 2018)

On coarser interval temporal logics. - Emilio Muñoz-Velasco; Mercedes Pelegrín-García; Pietro Sala; Guido Sciavicco; Ionel Eduard Stan (Artif. Intell., 2019)

Adding incompatibilities to the Simple Plant Location Problem: Formulation, facets and computational experience. - Alfredo Marín 001; Mercedes Pelegrín-García (Comput. Oper. Res., 2019)

A new lifting theorem for vertex packing. - Alfredo Marín 001; Mercedes Pelegrín (Optim. Lett., 2019)

Spotting Key Members in Networks: Clustering-Embedded Eigenvector Centrality. - Emilio Carrizosa; Alfredo Marín 001; Mercedes Pelegrín (IEEE Syst. J., 2020)

The double-assignment plant location problem with co-location. - Alfredo Marín 001; Mercedes Pelegrín (Comput. Oper. Res., 2021)

Finding the root graph through minimum edge deletion. - Martine Labbé; Alfredo Marín 001; Mercedes Pelegrín (Eur. J. Oper. Res., 2021)

Detecting and solving aircraft conflicts using bilevel programming. - Martina Cerulli; Claudia D'Ambrosio; Leo Liberti; Mercedes Pelegrín (J. Glob. Optim., 2021)

Continuous Covering on Networks: Strong Mixed Integer Programming Formulations. - Mercedes Pelegrín; Liding Xu (CoRR, 2022)

Aircraft Deconfliction via Mathematical Programming: Review and Insights. - Mercedes Pelegrín; Claudia D'Ambrosio (Transp. Sci., 2022)

New variants of the simple plant location problem and applications. - Mercedes Pelegrín (Eur. J. Oper. Res., 2023)

Aircraft Conflict Resolution: A Benchmark Generator. - Mercedes Pelegrín; Martina Cerulli (INFORMS J. Comput., 2023)

Urban air mobility: from complex tactical conflict resolution to network design and fairness insights. - Mercedes Pelegrín; Claudia D'Ambrosio; Rémi Delmas; Youssef Hamadi (Optim. Methods Softw., 2023)