Matthias Horn
Projektass. Dipl.-Ing. Dr.techn. / BSc
Role
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PostDoc Researcher
Databases and Artificial Intelligence, E192-02
Projects
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CD Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling
2017 – 2024 / Christian Doppler Research Association (CDG)
Publications: 136808 / 139849 / 138379 / 138399 / 138400 / 138528 / 138530 / 144345 / 142199 / 142211 / 142210 / 142193 / 141227 / 141228 / 143220 / 143222 / 24775 / 55565 / 55636 / 57470 / 57475 / 57476 / 57570 / 57572 / 57573 / 57872 / 57873 / 57874 / 57876 / 57878 / 57880 / 58293 / 58340 / 58583 / 58584 / 58585 / 58586 / 58590 / 58591 / 86907 / 87083
Publications
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Advances in search techniques for combinatorial optimization: New anytime A* search and decision diagram based approaches
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Horn, M. (2021). Advances in search techniques for combinatorial optimization: New anytime A* search and decision diagram based approaches [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.96303
Download: PDF (3.77 MB) - A$$^*$$-Based Compilation of Relaxed Decision Diagrams for the Longest Common Subsequence Problem / Horn, M., & Raidl, G. R. (2021). A$$^*$$-Based Compilation of Relaxed Decision Diagrams for the Longest Common Subsequence Problem. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 72–88). LNCS / Springer. https://doi.org/10.1007/978-3-030-78230-6_5
- Driver Shift Planning for an Online Store with Short Delivery Times / Horn, M., Frohner, N., & Raidl, G. R. (2021). Driver Shift Planning for an Online Store with Short Delivery Times. In Procedia Computer Science (pp. 517–524). Elsevier. https://doi.org/10.1016/j.procs.2021.01.270
- A*-based construction of decision diagrams for a prize-collecting scheduling problem / Horn, M., Maschler, J., Raidl, G. R., & Rönnberg, E. (2020). A*-based construction of decision diagrams for a prize-collecting scheduling problem. Computers and Operations Research, 126(105125), 105125. https://doi.org/10.1016/j.cor.2020.105125
- A* Search for Prize-Collecting Job Sequencing with One Common and Multiple Secondary Resources / Horn, M., Raidl, G. R., & Rönnberg, E. (2020). A* Search for Prize-Collecting Job Sequencing with One Common and Multiple Secondary Resources. Annals of Operations Research, 302(2), 477–505. https://doi.org/10.1007/s10479-020-03550-7
- On the Use of Decision Diagrams for Finding Repetition-Free Longest Common Subsequences / Horn, M., Djukanovic, M., Blum, C., & Raidl, G. (2020). On the Use of Decision Diagrams for Finding Repetition-Free Longest Common Subsequences. CPAIOR 2020, Wien, Austria. http://hdl.handle.net/20.500.12708/87120
- On the Use of Decision Diagrams for Finding Repetition-Free Longest Common Subsequences / Horn, M., Djukanovic, M., Blum, C., & Raidl, G. R. (2020). On the Use of Decision Diagrams for Finding Repetition-Free Longest Common Subsequences. In Optimization and Applications (pp. 134–149). LNCS / Springer. https://doi.org/10.1007/978-3-030-62867-3_11
- A Variable Neighborhood Search for the Job Sequencing with One Common and Multiple Secondary Resources Problem / Kaufmann, T., Horn, M., & Raidl, G. R. (2020). A Variable Neighborhood Search for the Job Sequencing with One Common and Multiple Secondary Resources Problem. In Parallel Problem Solving from Nature – PPSN XVI (pp. 385–398). LNCS / Springer. https://doi.org/10.1007/978-3-030-58115-2_27
- Route Duration Prediction in a Stochastic and Dynamic Vehicle Routing Problem with Short Delivery Deadlines / Frohner, N., Horn, M., & Raidl, G. R. (2020). Route Duration Prediction in a Stochastic and Dynamic Vehicle Routing Problem with Short Delivery Deadlines. In Procedia Computer Science (pp. 366–370). Elsevier. https://doi.org/10.1016/j.procs.2021.01.175
- Job sequencing with one common and multiple secondary resources: An A∗/Beam Search based anytime algorithm / Horn, M., Raidl, G., & Blum, C. (2019). Job sequencing with one common and multiple secondary resources: An A∗/Beam Search based anytime algorithm. Artificial Intelligence, 277(103173), 103173. https://doi.org/10.1016/j.artint.2019.103173
- A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem / Blum, C., Thiruvady, D., Ernst, A. T., Horn, M., & Raidl, G. R. (2019). A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem. In AI 2019: Advances in Artificial Intelligence (pp. 549–560). LNCS. https://doi.org/10.1007/978-3-030-35288-2_44
- Decision Diagram Based Limited Discrepancy Search for a Job Sequencing Problem / Horn, M., & Raidl, G. (2019). Decision Diagram Based Limited Discrepancy Search for a Job Sequencing Problem. In Computer Aided System Theory - EUROCAST 2019 (pp. 94–95). http://hdl.handle.net/20.500.12708/58004
- An A* Algorithm for Solving a Prize-Collecting Sequencing Problem with One Common and Multiple Secondary Resources and Time Windows / Horn, M., Raidl, G., & Rönnberg, E. (2018). An A* Algorithm for Solving a Prize-Collecting Sequencing Problem with One Common and Multiple Secondary Resources and Time Windows. In Annals of Operations Research (pp. 235–256). Springer. http://hdl.handle.net/20.500.12708/57525
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A heuristic framework for dynamic vehicle routing with site-dependent constraints
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Horn, M. (2017). A heuristic framework for dynamic vehicle routing with site-dependent constraints [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.37527
Download: PDF (849 KB) - Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment / Horn, M., Raidl, G., & Blum, C. (2017). Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment. In Lecture Notes in Computer Science (pp. 506–518). LNCS. https://doi.org/10.1007/978-3-319-72926-8_42
Supervisions
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A Variable neighborhood search for the job sequencing with one common and multiple secondary resources problem
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Kaufmann, T. (2019). A Variable neighborhood search for the job sequencing with one common and multiple secondary resources problem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.59930
Download: PDF (5.46 MB)