Pregled po CROSBI profilu: Domagoj Jakobović (CROSBI Profil: 16623, MBZ: 223294)
Pronađeno 323 radova
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1.Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming // Algorithms, 16 (2023), 6; 285, 23 doi:10.3390/a16060285 (međunarodna recenzija, članak, znanstveni)
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2.Strojno učenje i evolucijsko računarstvo u oblikovanju i analizi kriptografskih algoritama sa simetričnim ključem, 2023., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb
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3.Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment // Swarm and Evolutionary Computation (2023) doi:10.1016/j.swevo.2023.101318 (međunarodna recenzija, online first)
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4.Ensembles of priority rules to solve one machine scheduling problem in real-time // Information sciences (2023) doi:10.1016/j.ins.2023.03.114 (međunarodna recenzija, prihvaćen)
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5.Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment // Engineering applications of artificial intelligence (2023) doi:10.1016/j.engappai.2023.106096 (međunarodna recenzija, prihvaćen)
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6.Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment // Integrated computer-aided engineering (2023) doi:10.3233/ICA-230704 (međunarodna recenzija, online first)
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7.NeuroSCA: Evolving Activation Functions for Side-Channel Analysis // IEEE access, 11 (2022), 284-299 doi:10.1109/ACCESS.2022.3232064 (međunarodna recenzija, članak, znanstveni)
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8.Design Space Exploration of Clustered Sparsely Connected MPSoC Platforms // Sensors, 22 (2022), 20; 7803, 27 doi:10.3390/s22207803 (međunarodna recenzija, članak, znanstveni)
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9.Evolutionary computation and machine learning in security // Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22)
Boston (MA), Sjedinjene Američke Države: ACM, 2022. str. 1572-1601 doi:10.1145/3520304.3534087 (predavanje, međunarodna recenzija, pp prezentacija, ostalo) -
10.On generalizing the power function exponent constructions with genetic programming // Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22)
Boston (MA), Sjedinjene Američke Države: ACM, 2022. str. 691-694 doi:10.1145/3520304.3529081 (poster, međunarodna recenzija, kratko priopćenje, znanstveni) -
11.Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey // Artificial intelligence review (2022) doi:10.1007/s10462-022-10247-9 (međunarodna recenzija, online first)
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12.Constructing Ensembles of Dispatching Rules for Multi- objective Problems // Lecture Notes in Computer Science
Puerto de la Cruz, Španjolska, 2022. str. 119-129 doi:10.1007/978-3-031-06527-9_12 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
13.Introduction to automated design of scheduling heuristics with genetic programming // GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Boston (MA), Sjedinjene Američke Države, 2022. str. 1506-1526 doi:10.1145/3520304.3533667 (predavanje, recenziran, pp prezentacija, ostalo) -
14.Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods // 2021 IEEE Symposium Series on Computational Intelligence (SSCI)
Orlando (FL), Sjedinjene Američke Države: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 01-08 doi:10.1109/SSCI50451.2021.9659842 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
15.On the Difficulty of Evolving Permutation Codes // Lecture Notes in Computer Science
Madrid, Španjolska: Springer, 2022. str. 141-156 doi:10.1007/978-3-031-02462-7_10 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
16.Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm // Lecture Notes in Computer Science
Italija; online: Springer, 2022. str. 689-699 doi:10.1007/978-3-031-08421-8_47 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
17.Genetic programming for electric vehicle routing problem with soft time windows // GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Boston (MA), Sjedinjene Američke Države, 2022. str. 542-545 doi:10.1145/3520304.3528994 (poster, međunarodna recenzija, sažetak, znanstveni) -
18.Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions // Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22)
Boston (MA), Sjedinjene Američke Države, 2022. str. 1147-1155 doi:10.1145/3512290.3528871 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
19.Novel ensemble collaboration method for dynamic scheduling problems // Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22)
Boston (MA), Sjedinjene Američke Države: ACM, 2022. str. 893-901 doi:10.1145/3512290.3528807 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
20.Using priority rules for resource-constrained project scheduling problem in static environment // Computers & ; Industrial Engineering, 169 (2022), 108239, 13 doi:10.1016/j.cie.2022.108239 (međunarodna recenzija, članak, znanstveni)
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21.Artificial Intelligence for the Design of Symmetric Cryptographic Primitives // Security and Artificial Intelligence / Batina, Lejla ; Bäck, Thomas ; Buhan, Ileana ; Picek, Stjepan (ur.).
Lahti: Springer, 2022. str. 3-24 doi:10.1007/978-3-030-98795-4_1 -
22.Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics // Journal of Computational Science (2022) doi:10.1016/j.jocs.2022.101649 (međunarodna recenzija, prihvaćen)
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23.Local search based methods for scheduling in the unrelated parallel machines environment // Expert Systems with Applications (2022) doi:10.1016/j.eswa.2022.116909 (međunarodna recenzija, prihvaćen)
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24.A comparative study of dispatching rule representations in evolutionary algorithms // IEEE Access (2022) doi:10.1109/access.2022.3151346 (međunarodna recenzija, prihvaćen)
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25.On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules // 2021 IEEE Congress on Evolutionary Computation
Kraków, Poljska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 2152-2132 doi:10.1109/CEC45853.2021.9504982 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
