Genetic Programming Bibliography entries for Mateja Dumic

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GP coauthors/coeditors: Rebeka Coric, Domagoj Jakobovic, Dominik Sisejkovic, Marko Durasevic, Francisco Javier Gil Gala, Nikolina Frid,

Genetic Programming Articles by Mateja Dumic

  1. Marko Durasevic and Mateja Dumic. Designing relocation rules with genetic programming for the container relocation problem with multiple bays and container groups. Applied Soft Computing, 150:111104, 2024. details

  2. Marko Durasevic and Mateja Dumic. Corrigendum to ``Automated design of heuristics for the container relocation problem using genetic programming'', [Appl. Soft Comput. 130 (2022) 109696]. Applied Soft Computing, 132:109836, 2023. details

  3. Marko Durasevic and Mateja Dumic. Automated design of heuristics for the container relocation problem using genetic programming. Applied Soft Computing, 130:109696, 2022. details

  4. Mateja Dumic and Domagoj Jakobovic. Using priority rules for resource-constrained project scheduling problem in static environment. Computer \& Industrial Engineering, 169:108239, 2022. details

  5. Mateja Dumic and Domagoj Jakobovic. Ensembles of priority rules for resource constrained project scheduling problem. Applied Soft Computing, 110:107606, 2021. details

  6. Rebeka Coric and Mateja DHumic and Domagoj Jakobovic. Genetic programming hyperheuristic parameter configuration using fitness landscape analysis. Applied Intelligence, 51(10):7402-7426, 2021. details

  7. Mateja Dumic and Dominik Sisejkovic and Rebeka Coric and Domagoj Jakobovic. Evolving priority rules for resource constrained project scheduling problem with genetic programming. Future Generation Computer Systems, 86:211-221, 2018. details

Genetic Programming conference papers by Mateja Dumic

  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. 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

  5. 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

  6. 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