Stability of Solutions in Constraint Satisfaction Problems. - Laura Climent; Miguel A. Salido; Federico Barber (CCIA, 2009)

Robust Solutions in Changing Constraint Satisfaction Problems. - Laura Climent; Miguel A. Salido; Federico Barber (IEA/AIE (1), 2010)

Reformulating Dynamic Linear Constraint Satisfaction Problems as Weighted CSPs for Searching Robust Solutions. - Laura Climent; Miguel A. Salido; Federico Barber (SARA, 2011)

An Algorithm for Finding Robust and Stable Solutions for Constraint Satisfaction Problems with Discrete and Ordered Domains. - Laura Climent; Richard J. Wallace; Miguel A. Salido; Federico Barber (ICTAI, 2012)

Modeling Robustness in CSPs as Weighted CSPs. - Laura Climent; Richard J. Wallace; Miguel A. Salido; Federico Barber (CPAIOR, 2013)

Robustness and Stability in Constraint Programming under Dynamism and Uncertainty - (Extended Abstract). - Laura Climent; Richard J. Wallace; Miguel A. Salido; Federico Barber (CP, 2014)

Extrapolating from Limited Uncertain Information to Obtain Robust Solutions for Large-Scale Optimization Problems. - Laura Climent; Richard J. Wallace; Barry O'Sullivan; Eugene C. Freuder (ICTAI, 2014)

Robustness and Stability in Constraint Programming under Dynamism and Uncertainty. - Laura Climent; Richard J. Wallace; Miguel A. Salido; Federico Barber (J. Artif. Intell. Res., 2014)

Solving a Hard Cutting Stock Problem by Machine Learning and Optimisation. - Steven D. Prestwich; Adejuyigbe O. Fajemisin; Laura Climent; Barry O'Sullivan (ECML/PKDD (1), 2015)

Finding robust solutions for constraint satisfaction problems with discrete and ordered domains by coverings. - Laura Climent; Richard J. Wallace; Miguel A. Salido; Federico Barber (Artif. Intell. Rev., 2015)

Robustness and stability in dynamic constraint satisfaction problems. - Laura Climent (Constraints An Int. J., 2015)

Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection. - Laura Climent; Barry O'Sullivan; Steven D. Prestwich (LION, 2016)

An Improved Metaheuristic Algorithm for Maximizing Demand Satisfaction in the Population Harvest Cutting Stock Problem. - Laura Climent; Barry O'Sullivan; Richard J. Wallace (SOCS, 2016)

Uncertainty in dynamic constraint satisfaction problems. - Laura Climent; Miguel A. Salido; Richard J. Wallace; Federico Barber (AI Commun., 2016)

Extrapolating from Limited Uncertain Information in Large-Scale Combinatorial Optimization Problems to Obtain Robust Solutions. - Laura Climent; Richard J. Wallace; Barry O'Sullivan; Eugene C. Freuder (Int. J. Artif. Intell. Tools, 2016)

Acquiring Local Preferences of Weighted Partial MaxSAT. - Hong Huang; Laura Climent; Barry O'Sullivan (ICTAI, 2017)

Analytics-Based Decomposition of a Class of Bilevel Problems. - Adejuyigbe O. Fajemisin; Laura Climent; Steven D. Prestwich (WCGO, 2019)

Go with the Flow: Reinforcement Learning in Turn-based Battle Video Games. - Elinga Pagalyte; Maurizio Mancini; Laura Climent (IVA, 2020)

Transition to eBuses with Minimal Timetable Disruptions. - Alejandro Arbelaez; Laura Climent (SOCS, 2020)

An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem. - Adejuyigbe O. Fajemisin; Laura Climent; Steven D. Prestwich (OR Spectr., 2021)

Large Neighborhood Search for Robust Solutions for Constraint Satisfaction Problems with Ordered Domains. - Jheisson López; Alejandro Arbelaez; Laura Climent (CP, 2022)

Iterated Local Search for the eBuses Charging Location Problem. - César Loaiza Quintana; Laura Climent; Alejandro Arbelaez (PPSN (2), 2022)

Automatic assessment of object oriented programming assignments with unit testing in Python and a real case assignment. - Laura Climent; Alejandro Arbelaez (Comput. Appl. Eng. Educ., 2023)

A hybrid metaheuristic with learning for a real supply chain scheduling problem. - Christian Pérez; Laura Climent; Giancarlo Nicolò; Alejandro Arbelaez; Miguel A. Salido (Eng. Appl. Artif. Intell., 2023)

Multi-Objective Mixed Bus Fleet Charging Schedule Problem with Time-of-Use for real-world data-sets. - Padraigh Jarvis; Laura Climent; Alejandro Arbelaez (AICS, 2024)

A framework for designing Reinforcement Learning agents with Dynamic Difficulty Adjustment in single-player action video games. - Laura Climent; Alessio Longhi; Alejandro Arbelaez; Maurizio Mancini (Entertain. Comput., 2024)

Iterative local search for preserving data privacy. - Alejandro Arbelaez; Laura Climent (Appl. Intell., 2025)