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ORCIDMarko Durasevic
Marko Djurasevic – Marko Ðurasevic – Ɖurasević
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- unicode name: Ɖurasević
- affiliation: University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia
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2020 – today
- 2024
[j31]Marko Durasevic, Domagoj Jakobovic
, Stjepan Picek, Luca Mariot:
Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments. Algorithms 17(2): 67 (2024)- [j30]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) - [j29]Marko Durasevic, Mateja Dumic:
Designing relocation rules with genetic programming for the container relocation problem with multiple bays and container groups. Appl. Soft Comput. 150: 111104 (2024) - [j28]Marko Durasevic, Domagoj Jakobovic:
Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment. Axioms 13(1): 37 (2024) - [j27]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) - [j26]Domagoj Jakobovic, Marko Durasevic, Stjepan Picek, Bruno Gasperov:
ECF: A C＋＋ framework for evolutionary computation. SoftwareX 27: 101640 (2024) - [c41]Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala:
Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem. CEC 2024: 1-8 - [c40]Marko Ðurasevic, Mateja Ðumic, Francisco Javier Gil Gala:
Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem. CEC 2024: 1-8 - [c39]Claude Carlet, Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Look into the Mirror: Evolving Self-dual Bent Boolean Functions. EuroGP 2024: 161-175 - [c38]Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
Leveraging More of Biology in Evolutionary Reinforcement Learning. EvoApplications@EvoStar 2024: 91-114 - [c37]Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
Finding Near-Optimal Portfolios with Quality-Diversity. EvoApplications@EvoStar 2024: 3-18 - [c36]Claude Carlet, Marko Durasevic, Bruno Gasperov, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
A New Angle: On Evolving Rotation Symmetric Boolean Functions. EvoApplications@EvoStar 2024: 287-302 - [c35]Claude Carlet, Marko Durasevic, Domagoj Jakobovic, Stjepan Picek:
On the Evolution of Boolean Functions with the Algebraic Normal Form Representation. GECCO Companion 2024: 639-642 - [c34]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 - [c33]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 - [c32]Nikolina Frid, Marko Durasevic:
Application of Evolutionary Optimization in Task Mapping and Scheduling for Heterogeneous Mobile-Edge Computing. MIPRO 2024: 97-102 - [c31]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 - [c30]Claude Carlet, Marko Ðurasevic, Domagoj Jakobovic, Stjepan Picek:
Discovering Rotation Symmetric Self-dual Bent Functions with Evolutionary Algorithms. PPSN (4) 2024: 429-445 - [i18]Claude Carlet, Marko Ðurasevic, Domagoj Jakobovic, Stjepan Picek, Luca Mariot:
A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes. CoRR abs/2402.09937 (2024) - 2023
- [j25]Karlo Knezevic, Juraj Fulir, Domagoj Jakobovic, Stjepan Picek, Marko Ðurasevic:
NeuroSCA: Evolving Activation Functions for Side-Channel Analysis. IEEE Access 11: 284-299 (2023) - [j24]Marko Durasevic, Domagoj Jakobovic:
Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey. Artif. Intell. Rev. 56(4): 3181-3289 (2023) - [j23]Domagoj Jakobovic, Marko Durasevic, Karla Brkic, Juraj Fosin, Tonci Caric, Davor Davidovic:
Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming. Algorithms 16(6): 285 (2023) - [j22]Marko Durasevic, Mateja Dumic:
Corrigendum to "Automated design of heuristics for the container relocation problem using genetic programming", [Appl. Soft Comput. 130 (2022) 109696]. Appl. Soft Comput. 132: 109836 (2023) - [j21]Karla Salamun, Ivan Pavic, Hrvoje Dzapo, Marko Durasevic:
Evolving scheduling heuristics with genetic programming for optimization of quality of service in weakly hard real-time systems. Appl. Soft Comput. 137: 110141 (2023) - [j20]Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
A survey of metaheuristic algorithms for the design of cryptographic Boolean functions. Cryptogr. Commun. 15(6): 1171-1197 (2023) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [c29]Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules. EuroGP 2023: 308-323 - [c28]Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Sihem Mesnager, Stjepan Picek:
On the Evolution of Boomerang Uniformity in Cryptographic S-boxes. EvoApplications@EvoStar 2023: 237-252 - [c27]Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions. GECCO Companion 2023: 199-202 - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]Carlos A. Coello Coello, Marko Durasevic, Domagoj Jakobovic, Marina Krcek, Luca Mariot, Stjepan Picek:
Modeling Strong Physically Unclonable Functions with Metaheuristics. GECCO Companion 2023: 719-722 - [c21]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 - [c20]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 - [c19]Bruno Gasperov, Marko Durasevic:
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search. GECCO 2023: 1203-1211 - [c18]Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties. GECCO Companion 2023: 2047-2055 - [i17]Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
A Survey of Metaheuristic Algorithms for the Design of Cryptographic Boolean Functions. CoRR abs/2301.08012 (2023) - [i16]Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions. CoRR abs/2302.05890 (2023) - [i15]Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties. CoRR abs/2306.09190 (2023) - [i14]Bruno Gasperov, Marko Durasevic:
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search. CoRR abs/2306.09849 (2023) - [i13]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) - [i12]Claude Carlet, Marko Ðurasevic, Bruno Gasperov, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
A New Angle: On Evolving Rotation Symmetric Boolean Functions. CoRR abs/2311.11881 (2023) - [i11]Claude Carlet, Marko Ðurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Look into the Mirror: Evolving Self-Dual Bent Boolean Functions. CoRR abs/2311.11884 (2023) - 2022
- [j14]Lucija Planinic, Hrvoje Backovic, Marko Durasevic, Domagoj Jakobovic:
A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment. IEEE Access 10: 22886-22901 (2022) - [j13]Marko Durasevic, Mateja Dumic:
Automated design of heuristics for the container relocation problem using genetic programming. Appl. Soft Comput. 130: 109696 (2022) - [j12]Lucija Ulaga, Marko Durasevic, Domagoj Jakobovic:
Local search based methods for scheduling in the unrelated parallel machines environment. Expert Syst. Appl. 199: 116909 (2022) - [j11]Marko Durasevic, Domagoj Jakobovic:
Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics. J. Comput. Sci. 61: 101649 (2022) - [c17]Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati:
Evolutionary Construction of Perfectly Balanced Boolean Functions. CEC 2022: 1-8 - [c16]Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati:
On the Difficulty of Evolving Permutation Codes. EvoApplications 2022: 141-156 - [c15]Francisco Javier Gil Gala, Marko Durasevic, Domagoj Jakobovic:
Genetic programming for electric vehicle routing problem with soft time windows. GECCO Companion 2022: 542-545 - [c14]Marko Durasevic, Lucija Planinic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Novel ensemble collaboration method for dynamic scheduling problems. GECCO 2022: 893-901 - [c13]Claude Carlet, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Evolving constructions for balanced, highly nonlinear boolean functions. GECCO 2022: 1147-1155 - [c12]Marko Durasevic, Domagoj Jakobovic, Yi Mei, Su Nguyen, Mengjie Zhang:
Introduction to automated design of scheduling heuristics with genetic programming. GECCO Companion 2022: 1506-1526 - [c11]Marko Durasevic, Lucija Planinic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Constructing Ensembles of Dispatching Rules for Multi-objective Problems. IWINAC (1) 2022: 119-129 - [c10]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 - [i10]Carlos A. Coello Coello, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Modeling Strong Physically Unclonable Functions with Metaheuristics. CoRR abs/2202.08079 (2022) - [i9]Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati:
Evolutionary Construction of Perfectly Balanced Boolean Functions. CoRR abs/2202.08221 (2022) - [i8]Claude Carlet, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions. CoRR abs/2202.08743 (2022) - [i7]Marko Durasevic, Lucija Planinic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Novel ensemble collaboration method for dynamic scheduling problems. CoRR abs/2203.14290 (2022) - [i6]Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Sihem Mesnager, Stjepan Picek:
On the Evolution of Boomerang Uniformity in Cryptographic S-boxes. CoRR abs/2212.04789 (2022) - 2021
- [j10]Kristijan Jaklinovic, Marko Durasevic, Domagoj Jakobovic:
Designing dispatching rules with genetic programming for the unrelated machines environment with constraints. Expert Syst. Appl. 172: 114548 (2021) - [j9]Marko Durasevic, Domagoj Jakobovic:
Automatic design of dispatching rules for static scheduling conditions. Neural Comput. Appl. 33(10): 5043-5068 (2021) - [c9]Stjepan Zelic, Marko Durasevic, Domagoj Jakobovic, Lucija Planinic:
Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm. AI*IA 2021: 689-699 - [c8]Lucija Planinic, Marko Durasevic, Domagoj Jakobovic:
On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules. CEC 2021: 2125-2132 - [c7]Lucija Planinic, Marko Djurasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek, Carlos A. Coello Coello:
On the genotype compression and expansion for evolutionary algorithms in the continuous domain. GECCO Companion 2021: 1208-1216 - [c6]Lucija Planinic, Marko Durasevic, Domagoj Jakobovic:
Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods. SSCI 2021: 1-8 - [i5]Lucija Planinic, Marko Djurasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek, Carlos A. Coello Coello:
On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain. CoRR abs/2105.11502 (2021) - [i4]Marko Durasevic, Domagoj Jakobovic:
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey. CoRR abs/2107.13106 (2021) - [i3]Marko Durasevic, Mateja Dumic:
Automated Design of Heuristics for the Container Relocation Problem. CoRR abs/2107.13313 (2021) - [i2]Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati:
On the Difficulty of Evolving Permutation Codes. CoRR abs/2111.13252 (2021) - 2020
- [j8]Marko Durasevic, Domagoj Jakobovic:
Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment. Appl. Soft Comput. 96: 106637 (2020) - [j7]Ivan Vlasic, Marko Durasevic, Domagoj Jakobovic:
A comparative study of solution representations for the unrelated machines environment. Comput. Oper. Res. 123: 105005 (2020) - [c5]Marko Djurasevic, Domagoj Jakobovic, Stjepan Picek:
One property to rule them all?: on the limits of trade-offs for S-boxes. GECCO 2020: 1064-1072 - [c4]Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner:
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. PPSN (2) 2020: 111-124 - [c3]Claude Carlet, Marko Djurasevic, Domagoj Jakobovic, Stjepan Picek:
A Search for Additional Structure: The Case of Cryptographic S-boxes. PPSN (2) 2020: 343-356 - [i1]Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner:
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. CoRR abs/2004.12762 (2020)
2010 – 2019
- 2019
- [j6]Ivan Vlasic, Marko Durasevic, Domagoj Jakobovic:
Improving genetic algorithm performance by population initialisation with dispatching rules. Comput. Ind. Eng. 137 (2019) - [j5]Marko Durasevic, Domagoj Jakobovic:
Creating dispatching rules by simple ensemble combination. J. Heuristics 25(6): 959-1013 (2019) - 2018
- [j4]Marko Durasevic, Domagoj Jakobovic:
A survey of dispatching rules for the dynamic unrelated machines environment. Expert Syst. Appl. 113: 555-569 (2018) - [j3]Marko Durasevic, Domagoj Jakobovic:
Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment. Genet. Program. Evolvable Mach. 19(1-2): 9-51 (2018) - [j2]Marko Durasevic, Domagoj Jakobovic:
Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment. Genet. Program. Evolvable Mach. 19(1-2): 53-92 (2018) - [c2]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - 2016
- [j1]Marko Durasevic, Domagoj Jakobovic, Karlo Knezevic:
Adaptive scheduling on unrelated machines with genetic programming. Appl. Soft Comput. 48: 419-430 (2016) - [c1]Marko Durasevic, Domagoj Jakobovic:
Comparison of solution representations for scheduling in the unrelated machines environment. MIPRO 2016: 1336-1342
Coauthor Index
[j31] [j30] [j28] [j26] [c39] [c38] [c37] [c36] [c35] [c31] [c30] [i18] [j25] [j24] [j23] [j20] [j19] [j18] [j17] [j15] [c29] [c28] [c27] [c25] [c24] [c22] [c21] [c18] [i17] [i16] [i15] [i12] [i11] [j14] [j12] [j11] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i10] [i9] [i8] [i7] [i6] [j10] [j9] [c9] [c8] [c7] [c6] [i5] [i4] [i2] [j8] [j7] [c5] [c4] [c3] [i1] [j6] [j5] [j4] [j3] [j2] [c2] [j1] [c1]
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