Affiliations:


Asst. Prof. Marko Đurasević, Ph.D.


Ph.D. in Computer Science

Department of Electronics, Microelectronics, Computer and Intelligent Systems (ZEMRIS)

University of Zagreb, Faculty of Electrical Engineering and Computing (FER)

Unska 3, 10000 Zagreb, Croatia


Contact:


E-mail: marko.durasevic[at]fer.hr


Room: D338


Journal papers:


  1. F. J. Gil-Gala, M. Đurasević, M. R. Sierra, R. Varela Evolving ensembles of heuristics for the travelling salesman problem. Natural Computing, 2023. 10.3390/math11173740, accepted version:PDF, published version:LINK, (CC,Q3)

  2. M. Đurasević, M. Đumić Automated design of relocation rules for minimising energy consumption in the container relocation problem. Expert Systems with Applications, 2024. 10.1016/j.eswa.2023.121624, accepted version:PDF, published version:LINK, (CC,Q1)

  3. L. Matijević, M. Đurasević, D. Jakobović A Variable Neighborhood Search Method with a Tabu List and Local Search for Optimizing Routing in Trucks in Maritime Ports. Mathematics, 2023. 10.3390/math11173740, accepted version:PDF, published version:LINK, (CC,Q1)

  4. M. Đurasević, D. Jakobović, L. Mariot, S. Picek A Survey of Metaheuristic Algorithms for the Design of Cryptographic Boolean Functions. Cryptography and Communications, 2023. 10.1007/s12095-023-00662-2, accepted version:PDF, published version:LINK, (CC,Q2)

  5. D. Jakobović, M. Đurasević, K. Brkić, J. Fosin, T. Carić Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming. Algorithms, 2023. 10.3390/a16060285, accepted version:PDF, published version:LINK,

  6. M. Đurasević, F. J. Gil-Gala, D. Jakobović, C. Coello Coello Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment. Swarm and Evolutionary Computation, 2023. 10.1016/j.swevo.2023.101318, accepted version:PDF, published version:LINK,

  7. F. J. Gil-Gala, M. Đurasević, R. Varela, R. Varela Ensembles of priority rules to solve one machine scheduling problem in real-time. Information Sciences, 2023. 10.1016/j.ins.2023.03.114, accepted version:PDF, published version:LINK,

  8. M. Đurasević, F. J. Gil-Gala, L. Planinić, D. Jakobović Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment. Engineering Applications of Artificial Intelligence, 2023. 10.1016/j.asoc.2023.110141, accepted version:PDF, published version:LINK, (CC,Q1)

  9. K. Salamun, I. Pavić, H. Džapo, M. Đurasević Evolving scheduling heuristics with genetic programming for optimization of quality of service in weakly hard real-time systems. Applied Soft Computing, 2023. 10.1016/j.asoc.2023.110141, accepted version:PDF, published version:LINK, (CC,Q1)

  10. M. Đurasević, F. J. Gil-Gala, D. Jakobović Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment. Integrated Computer-Aided Engineering, 2023. 10.3233/ICA-230704, accepted version:PDF, published version:LINK, (CC,Q1)

  11. K. Knežević, J. Fulir, D. Jakobović, S. Picek, M. Đurasević, NeuroSCA: Evolving Activation Functions for Side-Channel Analysis. IEEE Access, 2022. 10.1109/ACCESS.2022.3232064, accepted version:PDF, published version:LINK, (CC,Q2)

  12. M. Đurasević, M. Đumić, Automated design of heuristics for the container relocation problem using genetic programming. Applied Soft Computing, 2022. 10.1016/j.asoc.2022.109696, accepted version:PDF, published version:LINK, (CC,Q1)

  13. M. Đurasević, D. Jakobović, Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey. Artificial Intelligence Review, 2022. 10.1007/s10462-022-10247-9, accepted version:PDF, published version:LINK, (CC,Q1)

  14. M. Đurasević, D. Jakobović, Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics. Journal of Computational Science, 2022. 10.1016/j.jocs.2022.101649, accepted version:PDF, published version:LINK, (CC,Q1)

  15. L. Ulaga, M. Đurasević, D. Jakobović, Local search based methods for scheduling in the unrelated parallel machines environment. Expert Systems with Applications, 2022. 10.1016/j.eswa.2022.116909, accepted version:PDF, published version:LINK, (CC,Q1)

  16. L. Planinić, H. Backović, M. Đurasević, D. Jakobović, A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment. IEEE Access, 2022. 10.1109/ACCESS.2022.3151346, accepted version:PDF, published version:LINK, (CC,Q2)

  17. K. Jaklinović, M. Đurasević, D. Jakobović, Designing dispatching rules with genetic programming for the unrelated machines environment with constraints. Expert Systems with Applications, 2021. 10.1016/j.eswa.2020.114548, accepted version:PDF, published version:LINK, (CC,Q1)

  18. M. Đurasević, D. Jakobović, Automatic design of dispatching rules for static scheduling conditions. Neural Computing and Applications, 2020. 10.1007/s00521-020-05292-w, accepted version:PDF, published version:LINK, (CC,Q1)

  19. M. Đurasević, D. Jakobović, Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment. Applied Soft Computing, 2020. 10.1016/j.asoc.2020.106637, accepted version:PDF, published version:LINK, (CC,Q1)

  20. I. Vlašić, M. Đurasević, D. Jakobović, A comparative study of solution representations for the unrelated machines environment. Computers & Operations Research, 2020. 10.1016/j.cor.2020.105005, accepted version:PDF, published version:LINK, (CC,Q1)

  21. M. Đurasević, D. Jakobović, Creating dispatching rules by simple ensemble combination. Journal of Heuristics, Vol. 25, Issue 6, 959-1013, Dec. 2019. 10.1007/s10732-019-09416-x , accepted version:PDF, published version:LINK, (CC,Q2)

  22. I. Vlašić, M. Đurasević, D. Jakobović, Improving genetic algorithm performance by population initialisation with dispatching rules. Computers & Industrial Engineering, Vol. 137, Nov. 2019. 10.1016/j.cie.2019.106030 , accepted version:PDF, published version:LINK, (CC,Q1)

  23. M. Đurasević, D. Jakobović, A survey of dispatching rules for the dynamic unrelated machines environment. Expert Systems with Applications, Vol. 113, Issue 6, 555-569, Dec. 2018. 10.1016/j.eswa.2018.06.053 , accepted version:PDF, published version:LINK, (CC,Q1)

  24. M. Đurasević, D. Jakobović, Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment. Genetic Programming and Evolvable Machines, Vol. 19, Issue 1-2, 53-92, June 2018. 10.1007-017-9310-3, accepted version:PDF, published version:LINK, (CC,Q2)

  25. M. Đurasević, D. Jakobović, Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment. Genetic Programming and Evolvable Machines, Vol. 19, Issue 1-2, 53-92, June 2018. 10.1007/s10710-017-9302-3, accepted version:PDF, published version:LINK, (CC,Q2)

  26. M. Đurasević, D. Jakobović, K. Knežević, Adaptive scheduling on unrelated machines with genetic programming. Applied Soft Computing, Vol. 48, 419-430, Nov. 2016. 10.1016/j.asoc.2016.07.025 , accepted version:PDF, published version:LINK, (CC,Q1)

Conference Papers:


  1. C. Carlet, D. Jakobović, L. Mariot, S. Picek Evolving constructions for balanced, highly nonlinear boolean functions. GECCO '22: Genetic and Evolutionary Computation Conference, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22) 10.1145/3512290.3528871., accepted version:PDF, published version:LINK

  2. M. Đurasević, L. Planinić, F. J. Gil-Gala, D. Jakobović Novel ensemble collaboration method for dynamic scheduling problems. GECCO '22: Genetic and Evolutionary Computation Conference, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22) 10.1145/3512290.3528807., accepted version:PDF, published version:LINK

  3. F. J. Gil-Gala, M. Đurasević, D. Jakobović Genetic programming for electric vehicle routing problem with soft time windows. GECCO '22: Genetic and Evolutionary Computation Conference, In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '22) 10.1145/3520304.3528994., accepted version:PDF, published version:LINK

  4. L. Mariot, S. Picek, D. Jakobović, M. Đurasević, A. Leporati Evolutionary Construction of Perfectly Balanced Boolean Functions. IEEE Congress on Evolutionary Computation 2021 IEEE Congress on Evolutionary Computation (CEC) accepted version:PDF,

  5. F. J. Gil-Gala, M. Đurasević, M. R. Sierra, R. Varela Building Heuristics and Ensembles for the Travel Salesman Problem. Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022, Lecture Notes in Computer Science 10.1007/978-3-031-06527-9_13., accepted version:PDF, published version:LINK

  6. M. Đurasević, L. Planinić, F. J. Gil-Gala, D. Jakobović Constructing Ensembles of Dispatching Rules for Multi-objective Problems. Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022, Lecture Notes in Computer Science 10.1007/978-3-031-06527-9_12., accepted version:PDF, published version:LINK

  7. L. Mariot, S. Picek, D. Jakobović, M. Đurasević, A. Leporati On the Difficulty of Evolving Permutation Codes. Applications of Evolutionary Computation. EvoApplications 2022, Lecture Notes in Computer Science 10.1007/978-3-031-02462-7_10, accepted version:PDF, published version:LINK

  8. S. Zelić, M. Đurasević, D. Jakobović, L. Planinić Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm. AIxIA 2021 – Advances in Artificial Intelligence, Lecture Notes in Computer Science 10.1007/978-3-031-08421-8_47., accepted version:PDF, published version:LINK

  9. L. Planinić, M. Đurasević, D. Jakobović Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 05-07 December 2021 10.1109/SSCI50451.2021.9659842., accepted version:PDF, published version:LINK

  10. L. Planinić, M. Đurasević, L. Mariot, D. Jakobović, S. Picek, C. Coello Coello On the genotype compression and expansion for evolutionary algorithms in the continuous domain. GECCO '21: Genetic and Evolutionary Computation Conference, Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21) 10.1145/3449726.3463169, accepted version:PDF, published version:LINK

  11. L. Planinić, M. Đurasević, D. Jakobović On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules. IEEE Congress on Evolutionary Computation, 2021 IEEE Congress on Evolutionary Computation (CEC) pp 2125-2132 10.1109/CEC45853.2021.9504982, accepted version:PDF, published version:LINK

  12. M. Đurasević, D. Jakobović, M. Scoczynski Ribeiro Martins, S. Picek, M. Wagner Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. International Conference on Parallel Problem Solving from Nature, PPSN 2020: Parallel Problem Solving from Nature – PPSN XVI pp 111-124 10.1007/978-3-030-58115-2_8, accepted version:PDF, published version:LINK

  13. C. Carlet, M. Đurasević, D. Jakobović, S. Picek A Search for Additional Structure: The Case of Cryptographic S-boxes. International Conference on Parallel Problem Solving from Nature, PPSN 2020: Parallel Problem Solving from Nature – PPSN XVI pp 343-356 10.1007/978-3-030-58115-2_24, accepted version:PDF, published version:LINK

  14. M. Đurasević, D. Jakobović, S. Picek One property to rule them all? On the limits of trade-offs for S-boxes. GECCO '20: Proceedings of the Genetic and Evolutionary Computation Conference 2020, GECCO '20: Proceedings of the Genetic and Evolutionary Computation Conference 2020, July 2020 10.1145/3377930.3390247, accepted version:PDF, published version:LINK

  15. M. Đurasević, D. Jakobović, Comparison of solution representations for scheduling in the unrelated machines environment. Proceedings of 39th International Convention MIPRO 2016, 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) 10.1109/MIPRO.2016.7522347, accepted version:PDF, published version:LINK

  16. D. Šantl, M. Đurasević, J. Knezović, GPU Implementation of a Medical Imaging Data Compression Algorithm. IT Systems 2013 and e-Health 2013, accepted version:PDF

  17. M. Dujak, V. Parać, M. Đurasević, A. Herić, Machine-to-machine communication as key enabler in smart metering systems. Proceedings of 36th International Convention MIPRO 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) accepted version:PDF, published version:LINK

Theses:


  1. M. Đurasević, Automated design of dispatching rules in unrelated machines environment , (Ph.D. Thesis), University of Zagreb, Faculty of Electrical Engineering and Computing, 13th February 2018, PDF, PRES

  2. M. Đurasević, Optimization of scheduling for unrelated machines, (M.S. Thesis), University of Zagreb, Faculty of Electrical Engineering and Computing, 2014, PDF, PRES

  3. M. Đurasević, Evolutionary computation description language, (B.Sc. Thesis), University of Zagreb, Faculty of Electrical Engineering and Computing, 2012, PDF, PRES

Seminars and other:


  1. M. Đurasević, Automatic development of dispatching rules for the unrelated machines environment, (Defense of the Ph.D. topic), University of Zagreb, Faculty of Electrical Engineering and Computing, 2016, PRES

  2. M. Đurasević, Razvoj pravila raspoređivanja korištenjem genetskog programiranja, (Qualifying doctors exam), University of Zagreb, Faculty of Electrical Engineering and Computing, 2015, PDF, PRES

  3. M. Đurasević, Raspoređivanje na nesrodnim strojevima, (Diploma Seminar), University of Zagreb, Faculty of Electrical Engineering and Computing, 2013, PDF, PRES

  4. M. Đurasević, Skladanje glazbe korištenjem genetskog algoritma (Seminar), University of Zagreb, Faculty of Electrical Engineering and Computing, 2013, PDF, PRES