Genetic Programming Bibliography entries for Francisco Javier Gil Gala

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GP coauthors/coeditors: Marko Durasevic, Lucija Planinic, Domagoj Jakobovic, Mateja Dumic, Rebeka Coric, Carlos Artemio Coello Coello, Nikolina Frid, Carlos Mencia Cascallana, Maria Rita Sierra Sanchez, Ramiro Varela Arias, Sezin Afsar, Juan Jose Palacios, Murat Afsar, Josip Hrvatic, Jesus Quesada, Maria Sierra,

Genetic Programming Articles by Francisco Javier Gil Gala

  1. Francisco J. Gil-Gala and Marko Durasevic and Domagoj Jakobovic. Evolving routing policies for electric vehicles by means of genetic programming. Applied Intelligence, 54:12391-12419, 2024. details

  2. Francisco J. Gil-Gala and Marko Durasevic and Ramiro Varela and Domagoj Jakobovic. Ensembles of priority rules to solve one machine scheduling problem in real-time. Information Sciences, 634:340-358, 2023. details

  3. Francisco J. Gil-Gala and Maria R. Sierra and Carlos Mencia and Ramiro Varela. Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity. Expert Systems with Applications, 233:120916, 2023. details

  4. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovic and Carlos A. Coello Coello. Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment. Swarm and Evolutionary Computation, 80:101318, 2023. details

  5. Marko Durasevic and Francisco Javier Gil-Gala and Lucija Planinic and Domagoj Jakobovic. Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment. Engineering Applications of Artificial Intelligence, 122:106096, 2023. details

  6. Francisco J. Gil-Gala and Maria R. Sierra and Carlos Mencia and Ramiro Varela. Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity. Swarm and Evolutionary Computation, 66:100944, 2021. Special Issue on Memetic Computing: Accelerating Optimization Heuristics with Problem-Dependent Local Search Methods. details

  7. Francisco J. Gil-Gala and Carlos Mencia and Maria R. Sierra and Ramiro Varela. Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time. Applied Soft Computing, 85:105782, 2019. details

Genetic Programming conference papers by Francisco Javier Gil Gala

  1. Marko Durasevic and Mateja Dumic and Francisco Javier Gil Gala and Domagoj Jakobovic. Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 156-172, Trieste, 2025. Springer Nature. details

  2. Marko Durasevic and Mateja Dumic and Francisco Javier Gil-Gala. Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  3. Marko Durasevic and Mateja Dumic and Francisco Javier Gil-Gala. Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  4. Josip Hrvatic and Marko Durasevic and Francisco Javier Gil Gala and Domagoj Jakobovic. Can Mutations Replace Local Search? Studying the Effect of Repeated Genetic Programming Operators in the Unrelated Machines Environment. In Pierrick Legrand editor, Artificial Evolution, EA-2024, Bordeaux, France, 2024. details

  5. Marko Durasevic and Mateja Dumic and Francisco Javier Gil-Gala and Nikolina Frid and Domagoj Jakobovic. Improving the performance of relocation rules for the container relocation problem with the rollout algorithm. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, volume 15148, pages 184-200, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  6. Marko Durasevic and Francisco Javier Gil Gala. Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem. In Pierrick Legrand editor, Artificial Evolution, EA-2024, Bordeaux, France, 2024. details

  7. Marko Durasevic and Nikolina Frid and Francisco Javier Gil Gala. Investigation of Structures for Routing Rules Designed by Genetic Programming for the Electric Vehicle Routing Problem. In Pierrick Legrand editor, Artificial Evolution, EA-2024, Bordeaux, France, 2024. details

  8. Jesus Quesada and Francisco Javier Gil-Gala and Marko Durasevic and Maria Sierra and Ramiro Varela. An Analysis of Heuristic Templates in Genetic Programming for One-Dimensional Cutting and Packing Problems. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 623-626, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  9. Francisco Javier Gil Gala and Marko Durasevic and Mateja Dumic and Rebeka Coric and Domagoj Jakobovic. An Analysis of Training Models to Evolve Heuristics for the Travelling Salesman Problem. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 575-578, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  10. Francisco Javier Gil-Gala and Sezin Afsar and Marko Durasevic and Juan Jose Palacios and Murat Afsar. Genetic Programming for the Vehicle Routing Problem with Zone-Based Pricing. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1118-1126, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  11. Marko Durasevic and Mateja Dumic and Rebeka Coric and Francisco Javier Gil-Gala. Automated Design of Relocation Rules for Minimising Energy Consumption in the Container Relocation Problem. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 523-526, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  12. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovi\'c. Does Size Matter? On the Influence of Ensemble Size on Constructing Ensembles of Dispatching Rules. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 559-562, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  13. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovic. Divide and Conquer: Using Single Objective Dispatching Rules to Improve Convergence for Multi-Objective Optimisation. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1082-1090, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  14. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovic. To bias or not to bias: Probabilistic initialisation for evolving dispatching rules. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 308-323, Brno, Czech Republic, 2023. Springer Verlag. details

  15. Francisco Javier Gil Gala and Marko Durasevic and Domagoj Jakobovic. Genetic programming for electric vehicle routing problem with soft time windows. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 542-545, Boston, USA, 2022. Association for Computing Machinery. details

  16. Marko Durasevic and Lucija Planinic and Francisco Javier Gil Gala and Domagoj Jakobovic. Novel ensemble collaboration method for dynamic scheduling problems. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 893-901, Boston, USA, 2022. Association for Computing Machinery. details

  17. Francisco J. Gil-Gala and Marko Durasevic and Maria R. Sierra and Ramiro Varela. Building Heuristics and Ensembles for the Travel Salesman Problem. In Jose Manuel Ferrandez Vicente and Jose Ramon Alvarez-Sanchez and Felix de la Paz Lopez and Hojjat Adeli editors, Proceedings of the 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Part II, volume 13259, pages 130-139, Puerto de la Cruz, Tenerife, Spain, 2022. Springer. details

  18. Marko Durasevic and Lucija Planinic and Francisco J. Gil-Gala and Domagoj Jakobovic. Constructing Ensembles of Dispatching Rules for Multi-objective Problems. In Jose Manuel Ferrandez Vicente and Jose Ramon Alvarez-Sanchez and Felix de la Paz Lopez and Hojjat Adeli editors, Proceedings of the 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Part II, volume 13259, pages 119-129, Puerto de la Cruz, Tenerife, Spain, 2022. Springer. details

  19. Francisco J. Gil-Gala and Maria R. Sierra and Carlos Mencia and Ramiro Varela. The Optimal Filtering set Problem with Application to Surrogate Evaluation in Genetic Programming. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 129-130, internet, 2021. Association for Computing Machinery. details