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ORCIDFrancisco Javier Gil Gala
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2020 – today
- 2026
[j19]Marko Durasevic
, Francisco Javier Gil Gala, Mateja Dumic:
Application of electoral systems for decision making in ensembles of heuristics generated by genetic programming. Appl. Soft Comput. 186: 114050 (2026)- 2025
- [j18]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala:
Multitask genetic programming for automated design of heuristics for the container relocation problem. Eng. Appl. Artif. Intell. 144: 110001 (2025) - [j17]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Introducing look-ahead into relocation rules generated with genetic programming for the container relocation problem. Genet. Program. Evolvable Mach. 26(2): 26 (2025) - [j16]Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Ramiro Varela:
Tree search hyper-heuristic with application to combinatorial optimization. J. Heuristics 31(2): 25 (2025) - [j15]Jesús Quesada, Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Ramiro Varela:
Genetic programming policies for bin packing in the framework of deterministic Markov decision process. Nat. Comput. 24(3): 603-617 (2025) - [j14]Francisco Javier Gil Gala, Marko Durasevic, Domagoj Jakobovic, Ramiro Varela:
Genetic programming with surrogate evaluation for the electric vehicle routing problem. Swarm Evol. Comput. 96: 101969 (2025) - [j13]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala:
Enhancing automatically designed relocation rules with the rollout algorithm. Swarm Evol. Comput. 96: 101975 (2025) - [c27]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming. EuroGP 2025: 156-172 - [c26]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala, Domagoj Jakobovic:
An analysis of training models to evolve relocation rules for the container relocation problem. GECCO Companion 2025: 191-194 - [c25]Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Jorge Puente:
Greedy Randomised Adaptive Solution Builder using Priority Rules. GECCO Companion 2025: 211-214 - [c24]Magda Smolic-Rocak, Marko Durasevic, Josip Hrvatic, Francisco Javier Gil Gala:
Automated Design of Heuristics with Genetic Programming for the Electric Vehicle Routing Problem with Partial Recharging. GECCO Companion 2025: 243-246 - [c23]Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic, Yi Mei:
Genetic Programming as a Hyper-Heuristic for Solving Combinatorial Optimisation Problems. GECCO Companion 2025: 1070-1094 - [c22]Marko Ðurasevic, Mateja Ðumic, Francisco Javier Gil Gala:
Designing Competitive Ensembles for the Container Relocation Problem. IJCNN 2025: 1-8 - 2024
- [j12]Francisco Javier Gil Gala, Marko Durasevic, Domagoj Jakobovic:
Evolving routing policies for electric vehicles by means of genetic programming. Appl. Intell. 54(23): 12391-12419 (2024) - [j11]Marko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala:
Automated design of relocation rules for minimising energy consumption in the container relocation problem. Expert Syst. Appl. 237(Part C): 121624 (2024) - [c21]Marko Durasevic, Nikolina Frid, Francisco Javier Gil Gala:
Investigation of Structures for Routing Rules Designed by Genetic Programming for the Electric Vehicle Routing Problem. EA 2024: 16-30 - [c20]Josip Hrvatic, Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Can Mutations Replace Local Search? Studying the Effect of Repeated Genetic Programming Operators in the Unrelated Machines Environment. EA 2024: 152-165 - [c19]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala:
Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem. CEC 2024: 1-8 - [c18]Marko Ðurasevic, Mateja Ðumic, Francisco Javier Gil Gala:
Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem. CEC 2024: 1-8 - [c17]Marko Durasevic, Francisco Javier Gil Gala:
Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming. IJCCI 2024: 346-353 - [c16]Jesús Quesada, Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Ramiro Varela:
Evolutionary Algorithms for Bin Packing Problem with Maximum Lateness and Waste Minimization. IWINAC (2) 2024: 140-149 - [c15]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala, Nikolina Frid, Domagoj Jakobovic:
Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm. PPSN (1) 2024: 184-200 - 2023
- [j10]Marko Durasevic, Francisco Javier Gil Gala, Lucija Planinic, Domagoj Jakobovic:
Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment. Eng. Appl. Artif. Intell. 122: 106096 (2023) - [j9]Francisco Javier Gil Gala, María R. Sierra, Carlos Mencía, Ramiro Varela:
Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity. Expert Syst. Appl. 233: 120916 (2023) - [j8]Marko Djurasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment. Integr. Comput. Aided Eng. 30(3): 275-292 (2023) - [j7]Francisco Javier Gil Gala, Marko Durasevic, Ramiro Varela, Domagoj Jakobovic:
Ensembles of priority rules to solve one machine scheduling problem in real-time. Inf. Sci. 634: 340-358 (2023) - [j6]Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Ramiro Varela:
Evolving ensembles of heuristics for the travelling salesman problem. Nat. Comput. 22(4): 671-684 (2023) - [j5]Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic, Carlos A. Coello Coello:
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment. Swarm Evol. Comput. 80: 101318 (2023) - [c14]Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules. EuroGP 2023: 308-323 - [c13]Marko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala:
Automated design of relocation rules for minimising energy consumption in the container relocation problem. GECCO Companion 2023: 523-526 - [c12]Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules. GECCO Companion 2023: 559-562 - [c11]Francisco Javier Gil Gala, Marko Durasevic, Mateja Dumic, Rebeka Coric, Domagoj Jakobovic:
An analysis of training models to evolve heuristics for the travelling salesman problem. GECCO Companion 2023: 575-578 - [c10]Jesús Quesada, Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Ramiro Varela:
An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems. GECCO Companion 2023: 623-626 - [c9]Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation. GECCO 2023: 1082-1090 - [c8]Francisco Javier Gil Gala, Sezin Afsar, Marko Durasevic, Juan José Palacios, Murat Afsar:
Genetic programming for the vehicle routing problem with zone-based pricing. GECCO 2023: 1118-1126 - [i2]Marko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala:
Automated design of relocation rules for minimising energy consumption in the container relocation problem. CoRR abs/2307.01513 (2023) - 2022
- [j4]Francisco Javier Gil Gala, María R. Sierra, Carlos Mencía, Ramiro Varela:
Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling. Nat. Comput. 21(4): 553-563 (2022) - [c7]Francisco Javier Gil Gala, Marko Durasevic, Domagoj Jakobovic:
Genetic programming for electric vehicle routing problem with soft time windows. GECCO Companion 2022: 542-545 - [c6]Marko Durasevic, Lucija Planinic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Novel ensemble collaboration method for dynamic scheduling problems. GECCO 2022: 893-901 - [c5]Marko Durasevic, Lucija Planinic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Constructing Ensembles of Dispatching Rules for Multi-objective Problems. IWINAC (1) 2022: 119-129 - [c4]Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Ramiro Varela:
Building Heuristics and Ensembles for the Travel Salesman Problem. IWINAC (1) 2022: 130-139 - [i1]Marko Durasevic, Lucija Planinic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Novel ensemble collaboration method for dynamic scheduling problems. CoRR abs/2203.14290 (2022) - 2021
- [j3]Francisco Javier Gil Gala, Carlos Mencía, María R. Sierra, Ramiro Varela:
Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms. Integr. Comput. Aided Eng. 28(1): 65-80 (2021) - [j2]Francisco Javier Gil Gala, María R. Sierra, Carlos Mencía, Ramiro Varela:
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity. Swarm Evol. Comput. 66: 100944 (2021) - [c3]Francisco Javier Gil Gala, María R. Sierra, Carlos Mencía, Ramiro Varela:
The optimal filtering set problem with application to surrogate evaluation in genetic programming. GECCO Companion 2021: 129-130 - 2020
- [c2]Francisco Javier Gil Gala, Carlos Mencía, María R. Sierra, Ramiro Varela:
Exhaustive Search of Priority Rules for On-Line Scheduling. ECAI 2020: 2354-2361
2010 – 2019
- 2019
- [j1]Francisco Javier Gil Gala, Carlos Mencía, María R. Sierra, Ramiro Varela:
Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time. Appl. Soft Comput. 85 (2019) - [c1]Francisco Javier Gil Gala, Ramiro Varela:
Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity. IWINAC (2) 2019: 223-233
Coauthor Index
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