Francisco Javier Gil Gala

Orcid: 0000-0002-0606-7009

According to our database1, Francisco Javier Gil Gala authored at least 24 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
Automated design of relocation rules for minimising energy consumption in the container relocation problem.
Expert Syst. Appl., March, 2024

2023
Evolving ensembles of heuristics for the travelling salesman problem.
Nat. Comput., December, 2023

Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity.
Expert Syst. Appl., December, 2023

Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment.
Swarm Evol. Comput., July, 2023

Ensembles of priority rules to solve one machine scheduling problem in real-time.
Inf. Sci., July, 2023

Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment.
Integr. Comput. Aided Eng., 2023

Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment.
Eng. Appl. Artif. Intell., 2023

An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

An analysis of training models to evolve heuristics for the travelling salesman problem.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Genetic programming for the vehicle routing problem with zone-based pricing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules.
Proceedings of the Genetic Programming - 26th European Conference, 2023

2022
Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling.
Nat. Comput., 2022

Building Heuristics and Ensembles for the Travel Salesman Problem.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Constructing Ensembles of Dispatching Rules for Multi-objective Problems.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Genetic programming for electric vehicle routing problem with soft time windows.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Novel ensemble collaboration method for dynamic scheduling problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity.
Swarm Evol. Comput., 2021

Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms.
Integr. Comput. Aided Eng., 2021

The optimal filtering set problem with application to surrogate evaluation in genetic programming.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Exhaustive Search of Priority Rules for On-Line Scheduling.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time.
Appl. Soft Comput., 2019

Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019


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