Mateja Dumic
Orcid: 0000-0001-8980-6315
According to our database1,
Mateja Dumic
authored at least 17 papers
between 2017 and 2024.
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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
Designing relocation rules with genetic programming for the container relocation problem with multiple bays and container groups.
Appl. Soft Comput., January, 2024
Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Corrigendum to "Automated design of heuristics for the container relocation problem using genetic programming", [Appl. Soft Comput. 130 (2022) 109696].
Appl. Soft Comput., 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
2022
Using priority rules for resource-constrained project scheduling problem in static environment.
Comput. Ind. Eng., 2022
Automated design of heuristics for the container relocation problem using genetic programming.
Appl. Soft Comput., 2022
2021
Appl. Soft Comput., 2021
Genetic programming hyperheuristic parameter configuration using fitness landscape analysis.
Appl. Intell., 2021
2020
Oblikovanje prioritetnih pravila za problem raspoređivanja s ograničenim sredstvima. ; Design of priority for resource constrained project scheduling problem.
PhD thesis, 2020
2019
Proceedings of the 42nd International Convention on Information and Communication Technology, 2019
2018
Evolving priority rules for resource constrained project scheduling problem with genetic programming.
Future Gener. Comput. Syst., 2018
Proceedings of the 41st International Convention on Information and Communication Technology, 2018
2017
Complexity comparison of integer programming and genetic algorithms for resource constrained scheduling problems.
Proceedings of the 40th International Convention on Information and Communication Technology, 2017