Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity. - Francisco Javier Gil Gala; Ramiro Varela (IWINAC (2), 2019)

Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time. - Francisco Javier Gil Gala; Carlos Mencía; María R. Sierra; Ramiro Varela (Appl. Soft Comput., 2019)

Exhaustive Search of Priority Rules for On-Line Scheduling. - Francisco Javier Gil Gala; Carlos Mencía; María R. Sierra; Ramiro Varela (ECAI, 2020)

The optimal filtering set problem with application to surrogate evaluation in genetic programming. - Francisco Javier Gil Gala; María R. Sierra; Carlos Mencía; Ramiro Varela (GECCO Companion, 2021)

Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms. - Francisco Javier Gil Gala; Carlos Mencía; María R. Sierra; Ramiro Varela (Integr. Comput. Aided Eng., 2021)

Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity. - Francisco Javier Gil Gala; María R. Sierra; Carlos Mencía; Ramiro Varela (Swarm Evol. Comput., 2021)

Novel ensemble collaboration method for dynamic scheduling problems. - Marko Durasevic; Lucija Planinic; Francisco Javier Gil Gala; Domagoj Jakobovic (GECCO, 2022)

Genetic programming for electric vehicle routing problem with soft time windows. - Francisco Javier Gil Gala; Marko Durasevic; Domagoj Jakobovic (GECCO Companion, 2022)

Constructing Ensembles of Dispatching Rules for Multi-objective Problems. - Marko Durasevic; Lucija Planinic; Francisco Javier Gil Gala; Domagoj Jakobovic (IWINAC (1), 2022)

Building Heuristics and Ensembles for the Travel Salesman Problem. - Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (IWINAC (1), 2022)

Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling. - Francisco Javier Gil Gala; María R. Sierra; Carlos Mencía; Ramiro Varela (Nat. Comput., 2022)

To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (EuroGP, 2023)

Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (GECCO, 2023)

Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (GECCO Companion, 2023)

Genetic programming for the vehicle routing problem with zone-based pricing. - Francisco Javier Gil Gala; Sezin Afsar; Marko Durasevic; Juan José Palacios 001; Murat Afsar (GECCO, 2023)

An analysis of training models to evolve heuristics for the travelling salesman problem. - Francisco Javier Gil Gala; Marko Durasevic; Mateja Dumic; Rebeka Coric; Domagoj Jakobovic (GECCO Companion, 2023)

An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems. - Jesús Quesada; Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (GECCO Companion, 2023)

Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment. - Marko Durasevic; Francisco Javier Gil Gala; Lucija Planinic; Domagoj Jakobovic (Eng. Appl. Artif. Intell., 2023)

Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment. - Marko Djurasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (Integr. Comput. Aided Eng., 2023)

Ensembles of priority rules to solve one machine scheduling problem in real-time. - Francisco Javier Gil Gala; Marko Durasevic; Ramiro Varela; Domagoj Jakobovic (Inf. Sci., 2023)

Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic; Carlos A. Coello Coello (Swarm Evol. Comput., 2023)

Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity. - Francisco Javier Gil Gala; María R. Sierra; Carlos Mencía; Ramiro Varela (Expert Syst. Appl., 2023)

Evolving ensembles of heuristics for the travelling salesman problem. - Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (Nat. Comput., 2023)

Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala (CEC, 2024)

Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem. - Marko Ðurasevic; Mateja Ðumic; Francisco Javier Gil Gala (CEC, 2024)

Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming. - Marko Durasevic; Francisco Javier Gil Gala (IJCCI, 2024)

Evolutionary Algorithms for Bin Packing Problem with Maximum Lateness and Waste Minimization. - Jesús Quesada; Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (IWINAC (2), 2024)

Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala; Nikolina Frid; Domagoj Jakobovic (PPSN (1), 2024)

Automated design of relocation rules for minimising energy consumption in the container relocation problem. - Marko Durasevic; Mateja Dumic; Rebeka Coric; Francisco Javier Gil Gala (Expert Syst. Appl., 2024)

Evolving routing policies for electric vehicles by means of genetic programming. - Francisco Javier Gil Gala; Marko Durasevic; Domagoj Jakobovic (Appl. Intell., 2024)

Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala; Domagoj Jakobovic (EuroGP, 2025)

Multitask genetic programming for automated design of heuristics for the container relocation problem. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala (Eng. Appl. Artif. Intell., 2025)

Enhancing automatically designed relocation rules with the rollout algorithm. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala (Swarm Evol. Comput., 2025)

Genetic programming with surrogate evaluation for the electric vehicle routing problem. - Francisco Javier Gil Gala; Marko Durasevic; Domagoj Jakobovic; Ramiro Varela (Swarm Evol. Comput., 2025)

Tree search hyper-heuristic with application to combinatorial optimization. - Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (J. Heuristics, 2025)