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Nysret Musliu

Associate Prof. Dipl.-Ing. Dr.techn.

Research Focus

  • Logic and Computation: 100%

Research Areas

  • Search methods in AI, Heuristic Methods, Constraint Satisfaction, Machine Learning and Optimization, Scheduling and Timetabling, Problem solving
Nysret Musliu

Role

Contact

2022W

2023S

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2022

  • ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser (Extended Abstract) / Eiter, T., Geibinger, T., Higuera, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser (Extended Abstract). In Proceedings of the 5th Workshop on Trends and Applications of Answer Set Programming. 5th Workshop on Trends and Applications of Answer Set Programming, Vienna, Austria.
  • Large-Neighbourhood Search for Optimisation in Answer-Set Solving (Extended Abstract) / Eiter, T., Geibinger, T., Higuera Ruiz, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). Large-Neighbourhood Search for Optimisation in Answer-Set Solving (Extended Abstract). In Proceedings of the 38th International Conference on Logic Programming. 38th International Conference on Logic Programming, Haifa, Israel. Open Publishing Association. http://hdl.handle.net/20.500.12708/139851
  • A System for Automated Industrial Test Laboratory Scheduling / Danzinger, P., Geibinger, T., Janneau, D., Mischek, F., Musliu, N., & Poschalko, C. (2022). A System for Automated Industrial Test Laboratory Scheduling. ACM Transactions on Intelligent Systems and Technology. https://doi.org/10.1145/3546871
  • Investigating Hyper-heuristics for Real-World Test Laboratory Scheduling / Mischek, F., & Musliu, N. (2022, July 0). Investigating Hyper-heuristics for Real-World Test Laboratory Scheduling [Conference Presentation]. EURO 2022, Espoo, Finland.
  • Reinforcement Learning for Cross-Domain Hyper-Heuristics / Mischek, F., & Musliu, N. (2022). Reinforcement Learning for Cross-Domain Hyper-Heuristics. In L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (pp. 4793–4799). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/664
  • An Open Challenge for Exact Job Scheduling with Reticle Batching in Photolithography / Eiter, T., Geibinger, T., Gisbrecht, A., Higuera Ruiz, N. N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). An Open Challenge for Exact Job Scheduling with Reticle Batching in Photolithography. In KEPS 2022 Workshop on Knowledge Engineering for Planning and Scheduling. Workshop on Knowledge Engineering for Planning and Scheduling, International. http://hdl.handle.net/20.500.12708/139763
  • Hyper-Heuristics for Personnel Scheduling Domains / Kletzander, L., & Musliu, N. (2022). Hyper-Heuristics for Personnel Scheduling Domains. In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (pp. 462–470). AAAI Press. https://doi.org/10.1609/icaps.v32i1.19832 / Project: ARTIS
  • An Investigation of Hyper-Heuristic Approaches for Teeth Scheduling / Winter, F., & Musliu, N. (2022). An Investigation of Hyper-Heuristic Approaches for Teeth Scheduling. In MIC 2022: 14th Metaheuristics International Conference. 14th Metaheuristics International Conference (MIC 2022), Ortigia-Syracuse, Italy. Springer. / Project: ARTIS
  • ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser / Eiter, T., Geibinger, T., Higuera, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser. In G. Kern-Isberner, G. Lackemeyer, & T. Meyer (Eds.), Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning — Applications and Systems (pp. 565–569). IJCAI Organization. https://doi.org/10.24963/kr.2022/58
  • Modeling and Solving the K-track Assignment Problem / Preininger, J., Winter, F., & Musliu, N. (2022). Modeling and Solving the K-track Assignment Problem. In 14th Metaheuristics International Conference. MIC 2022 - 14th Metaheuristics International Conference, Ortigia-Syracuse, Italy. Springer. http://hdl.handle.net/20.500.12708/142199 / Project: ARTIS
  • A Hybrid Approach for Paint Shop Scheduling in the Automotive Supply Industry / Winter, F., & Musliu, N. (2022). A Hybrid Approach for Paint Shop Scheduling in the Automotive Supply Industry. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 317–320). http://hdl.handle.net/20.500.12708/142193 / Project: ARTIS
  • Solving the Production Leveling Problem with Order-Splitting and Resource Constraints / Vass, J., Musliu, N., & Winter, F. (2022). Solving the Production Leveling Problem with Order-Splitting and Resource Constraints. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 261–284). http://hdl.handle.net/20.500.12708/142211 / Project: ARTIS
  • Solving an Industrial Oven Scheduling Problem with a Simulated Annealing Approach / Lackner, M.-L., Musliu, N., & Winter, F. (2022). Solving an Industrial Oven Scheduling Problem with a Simulated Annealing Approach. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 115–120). http://hdl.handle.net/20.500.12708/142210 / Project: ARTIS
  • Exact and meta-heuristic approaches for the production leveling problem / Winter, F., Lackner, M.-L., Vass, J., & Musliu, N. (2022). Exact and meta-heuristic approaches for the production leveling problem. Journal of Scheduling, 25(3), 339–370. https://doi.org/10.1007/s10951-022-00721-1 / Project: ARTIS

2021

2020

2019

  • Modeling and solving staff scheduling with partial weighted maxSAT / Winter, F., Musliu, N., & Demirovic, E. (2019). Modeling and solving staff scheduling with partial weighted maxSAT. Annals of Operations Research, 275(1), 79–99. https://doi.org/10.1007/s10479-017-2693-y
  • Solution Approaches for an Automotive Paint Shop Scheduling Problem / Winter, F., Musliu, N., Mrkvicka, C., & Demirovic, E. (2019). Solution Approaches for an Automotive Paint Shop Scheduling Problem. In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, {ICAPS} 2019 (pp. 573–581). AAAI Press. http://hdl.handle.net/20.500.12708/57874 / Project: ARTIS
  • Integer programming model extensions for a multi-stage nurse rostering problem / Mischek, F., & Musliu, N. (2019). Integer programming model extensions for a multi-stage nurse rostering problem. Annals of Operations Research. https://doi.org/10.1007/s10479-017-2623-z / Project: ARTIS
  • Solving the Torpedo Scheduling Problem / Kletzander, L., Musliu, N., & Geiger, M. J. (2019). Solving the Torpedo Scheduling Problem. Journal of Artificial Intelligence Research, 66, 1–32. https://doi.org/10.1613/jair.1.11303 / Project: ARTIS
  • Exact Methods for a Paint Shop Scheduling Problem from the Automotive Supply Industry / Winter, F., & Musliu, N. (2019). Exact Methods for a Paint Shop Scheduling Problem from the Automotive Supply Industry. CPAIOR 2019 - 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, Thessaloniki, Greece, EU. http://hdl.handle.net/20.500.12708/86907 / Project: ARTIS
  • Instance Space Analysis for a Personnel Scheduling Problem / Kletzander, L., Musliu, N., & Smith-Miles, K. (2019). Instance Space Analysis for a Personnel Scheduling Problem. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019 (pp. 1–8). http://hdl.handle.net/20.500.12708/57880 / Project: ARTIS
  • Investigating Constraint Programming for Real World Industrial Test Laboratory Scheduling / Geibinger, T., Mischek, F., & Musliu, N. (2019). Investigating Constraint Programming for Real World Industrial Test Laboratory Scheduling. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 304–319). Springer. https://doi.org/10.1007/978-3-030-19212-9_20 / Project: ARTIS
  • Exact Methods for Extended Rotating Workforce Scheduling Problems / Kletzander, L., Musliu, N., Gärtner, J., Krennwallner, J., & Schafhauser, W. (2019). Exact Methods for Extended Rotating Workforce Scheduling Problems. In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, {ICAPS} 2018, Berkeley, CA, USA, July 11-15, 2019 (pp. 519–527). AAAI Press. http://hdl.handle.net/20.500.12708/57873 / Project: ARTIS
  • Modelling and Solving the Minimum Shift Design Problem / Kletzander, L., & Musliu, N. (2019). Modelling and Solving the Minimum Shift Design Problem. In Lecture Notes in Computer Science. CPAIOR 2019 - 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, Thessaloniki, Greece, EU. Springer. https://doi.org/10.1007/978-3-030-19212-9 / Project: ARTIS

2018

  • Solving the General Employee Scheduling Problem / Kletzander, L., & Musliu, N. (2018). Solving the General Employee Scheduling Problem. In 12th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2018 (pp. 1–36). http://hdl.handle.net/20.500.12708/57573 / Project: ARTIS
  • A Local Search Framework for Industrial Test Laboratory Scheduling / Mischek, F., & Musliu, N. (2018). A Local Search Framework for Industrial Test Laboratory Scheduling. In Proceedings of the 12th International Conference on the Practice and Theory of Auto­mated Timetabling (PATAT-2018) (pp. 465–467). http://hdl.handle.net/20.500.12708/57572 / Project: ARTIS
  • Solver Independent Rotating Workforce Scheduling / Musliu, N., Schutt, A., & Stuckey, P. J. (2018). Solver Independent Rotating Workforce Scheduling. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 429–445). Springer. https://doi.org/10.1007/978-3-319-93031-2_31 / Project: ARTE
  • Min-conflicts heuristic for multi-mode resource-constrained projects scheduling / Musliu, N., & Ahmeti, A. (2018). Min-conflicts heuristic for multi-mode resource-constrained projects scheduling. In Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Seattle, Non-EU. ACM. https://doi.org/10.1145/3205455.3205620 / Project: ARTIS
  • Modeling and Solving an Automotive Paint Shop Scheduling Problem / Winter, F., Musliu, N., Demirovic, E., & Mrkvicka, C. (2018). Modeling and Solving an Automotive Paint Shop Scheduling Problem. In 12th International Conference on the Practice and Theory of Automated Timetabling (pp. 477–480). http://hdl.handle.net/20.500.12708/57476 / Project: ARTIS
  • Solution-Based Phase Saving and MaxSAT for Employee Scheduling: A Computational Study / Winter, F., Musliu, N., Demirovic, E., & Stuckey, P. J. (2018). Solution-Based Phase Saving and MaxSAT for Employee Scheduling: A Computational Study. In 12th International Conference on the Practice and Theory of Automated Timetabling (pp. 453–457). http://hdl.handle.net/20.500.12708/57475 / Project: ARTIS
  • Paint Shop Scheduling in the Automotive Supply Industry / Winter, F., Musliu, N., Demirovic, E., & Mrkvicka, C. (2018). Paint Shop Scheduling in the Automotive Supply Industry. In 29th European Conference on Operational Research (p. 161). http://hdl.handle.net/20.500.12708/57470 / Project: ARTIS

2017

2016

2015

  • Shift Design with Answer Set Programming / Abseher, M., Gebser, M., Musliu, N., Schaub, T., & Woltran, S. (2015). Shift Design with Answer Set Programming. In D. Inclezan & M. Maratea (Eds.), 8th Workshop on Answer Set Programming and Other Computing Paradigms, ASPOCP 2015 (p. 13). http://hdl.handle.net/20.500.12708/56218 / Projects: ARTE, D-Flat, START
  • Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning / Dusberger, F., Abseher, M., Musliu, N., & Woltran, S. (2015). Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning. In Q. Yang & M. Wooldridge (Eds.), Proceedings of IJCAI 2015, the 24th International Joint Conference on Artificial Intelligence (pp. 275–282). AAAI Press. http://hdl.handle.net/20.500.12708/56206 / Projects: ARTE, D-Flat, START
  • Shift Design with Answer Set Programming / Abseher, M., Gebser, M., Musliu, N., Schaub, T., & Woltran, S. (2015). Shift Design with Answer Set Programming. In F. Calimeri, G. Ianni, & M. Truszczynski (Eds.), Logic Programming and Nonmonotonic Reasoning (pp. 32–39). Springer. https://doi.org/10.1007/978-3-319-23264-5_4 / Projects: ARTE, D-Flat, START
  • Metaheuristic Algorithms and Tree Decomposition / Hammerl, T., Musliu, N., & Schafhauser, W. (2015). Metaheuristic Algorithms and Tree Decomposition. In J. Kacprzyk & W. Pedrycz (Eds.), Springer Handbook of Computational Intelligence (pp. 1255–1270). Springer. https://doi.org/10.1007/978-3-662-43505-2_64 / Project: ARTE

2014

2013

  • Scheduling of electric vehicle charging operations / Bucar, D., Bessler, S., Musliu, N., & Grønbæk, J. (2013). Scheduling of electric vehicle charging operations. In Proceedings of MISTA 2013- Multidisciplinary International Scheduling Conference: Theory and Applications (pp. 1–13). http://hdl.handle.net/20.500.12708/55080 / Project: ARTE
  • Automated Test Case Generation in End-User Programming / Musliu, N., Slany, W., & Gärtner, J. (2013). Automated Test Case Generation in End-User Programming. In End-User Development (pp. 272–277). Springer. http://hdl.handle.net/20.500.12708/55075
  • Algorithm Selection for the Graph Coloring Problem / Musliu, N., & Schwengerer, M. (2013). Algorithm Selection for the Graph Coloring Problem. In Learning and Intelligent Optimization, 7th International Conference, LION 7 (pp. 389–403). Srringer. http://hdl.handle.net/20.500.12708/55073 / Project: ARTE
  • Applying Machine Learning for Solver Selection in Scheduling / Musliu, N. (2013). Applying Machine Learning for Solver Selection in Scheduling. In Proceedings of the 10th Metaheuristic International Conference (MIC 2013) (pp. 240–242). http://hdl.handle.net/20.500.12708/55072 / Project: ARTE
  • Analyzing the Features of Employee Scheduling Problems (abstract) / Musliu, N. (2013). Analyzing the Features of Employee Scheduling Problems (abstract). In XXVI EURO - INFORMS Joint International Conference, Abstracts (p. 1). http://hdl.handle.net/20.500.12708/55081
  • Automated Shift Design and Break Scheduling / Di Gaspero, L., Gärtner, J., Musliu, N., Schaerf, A., Schafhauser, W., & Slany, W. (2013). Automated Shift Design and Break Scheduling. In Automated Scheduling and Planning, Studies in Computational Intelligence Volume 505 (pp. 109–127). Springer. http://hdl.handle.net/20.500.12708/28216 / Project: ARTE

2012

2011

2010

  • A Break Scheduling System for Supervision Personnel Using AI techniques. / Beer, A., Gärtner, J., Musliu, N., Schafhauser, W., & Slany, W. (2010). A Break Scheduling System for Supervision Personnel Using AI techniques. IEEE Intelligent Systems, 25(2), 60–73. http://hdl.handle.net/20.500.12708/165999
  • A hybrid LS-CP solver for the shifts and breaks design problem / Di Gaspero, L., Gärtner, J., Musliu, N., Schaerf, A., Schafhauser, W., & Slany, W. (2010). A hybrid LS-CP solver for the shifts and breaks design problem. In Proceedings of PATAT 2010 - The 8th International Conference on the Practice and Theory of Automated Timetabling (p. 3). http://hdl.handle.net/20.500.12708/53591
  • An improved memetic algorithm for break scheduling / Widl, M., & Musliu, N. (2010). An improved memetic algorithm for break scheduling. In Proceddings of 7th International Workshop on Hybrid Metaheuristics (pp. 133–147). Lecture Notes in Computer Sciences. http://hdl.handle.net/20.500.12708/53207
  • Scheduling content multicast trees with minimal repetitions / Bessler, S., Lang, L. F., & Musliu, N. (2010). Scheduling content multicast trees with minimal repetitions. In 2010 14th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). Networks 2010, Warsaw, Poland, EU. https://doi.org/10.1109/netwks.2010.5624910
  • Ant Colony Optimization for Tree Decompositions / Hammerl, T., & Musliu, N. (2010). Ant Colony Optimization for Tree Decompositions. In Evolutionary Computation in Combinatorial Optimization, 10th European Conference, EvoCOP 2010, Proceedings (pp. 95–106). Lecture Notes in Computer Science, Springer. http://hdl.handle.net/20.500.12708/53205
  • A hybrid LS-CP solver for the shifts and breaks design problem / Di Gaspero, L., Gärtner, J., Musliu, N., Schaerf, A., Schafhauser, W., & Slany, W. (2010). A hybrid LS-CP solver for the shifts and breaks design problem. In Proceedings of 7th International Workshop on Hybrid Metaheuristics (pp. 46–61). Lecture Notes in Computer Sciences. http://hdl.handle.net/20.500.12708/53204

2009

2008

  • An Iterated Local Search Algorithm for a Real-Life Break Scheduling Problem / Beer, A., Gärtner, J., Musliu, N., Schafhauser, W., & Slany, W. (2008). An Iterated Local Search Algorithm for a Real-Life Break Scheduling Problem. Matheuristics2008 - Second International Workshop on Model Based Metaheuristics, Bertinoro, Italien, EU. http://hdl.handle.net/20.500.12708/84743
  • Heuristic Methods for Hypertree Decomposition / Dermaku, A., Ganzow, T., Gottlob, G., McMahan, B. J., Musliu, N., & Samer, M. (2008). Heuristic Methods for Hypertree Decomposition. In Lecture Notes in Computer Scienc, MICAI 2008: Advances in Artificial Intelligence (pp. 1–11). Springer. http://hdl.handle.net/20.500.12708/52378
  • Solving the Social Golfer Problem with a GRASP / Triska, M., & Musliu, N. (2008). Solving the Social Golfer Problem with a GRASP. In In Proceedings of PATAT 2008 - The 7th International Conference on the Practice and Theory of Automated Timetabling (p. 12). http://hdl.handle.net/20.500.12708/52343
  • An Improved SAT Formulation for the Social Golfer Problem / Triska, M., & Musliu, N. (2008). An Improved SAT Formulation for the Social Golfer Problem. In Proceedings of PATAT 2008 - The 7th International Conference on the Practice and Theory of Automated Timetabling (p. 13). http://hdl.handle.net/20.500.12708/52280
  • Scheduling Breaks in Shift Plans for Call Centers / Beer, A., Gärtner, J., Musliu, N., Schafhauser, W., & Slany, W. (2008). Scheduling Breaks in Shift Plans for Call Centers. In Proceedings of PATAT 2008 - The 7th International Conference on the Practice and Theory of Automated Timetabling (p. 17). http://hdl.handle.net/20.500.12708/52274
  • An Iterative Heuristic Algorithm for Tree Decomposition / Musliu, N. (2008). An Iterative Heuristic Algorithm for Tree Decomposition. In C. Cotta & J. I. van Hemert (Eds.), Recent Advances in Evolutionary Computation for Combinatorial Optimization. Studies in Computational Intelligence, Volume 153/2008 (pp. 133–150). Springer. http://hdl.handle.net/20.500.12708/26169

2007

  • Genetic algorithms for generalized hypertree decompositions / Musliu, N., & Schafhauser, W. (2007). Genetic algorithms for generalized hypertree decompositions. European Journal of Industrial Engineering, 1(3), 317–340. http://hdl.handle.net/20.500.12708/169638 / Project: Hypertree
  • The Minimum Shift Design Problem / Di Gaspero, L., Gärtner, J., Kortsarz, G., Musliu, N., Schaerf, A., & Slany, W. (2007). The Minimum Shift Design Problem. Annals of Operations Research, 155(1), 79–105. http://hdl.handle.net/20.500.12708/169640
  • Iterated Local Search for Cyclic Staff Scheduling / Musliu, N. (2007). Iterated Local Search for Cyclic Staff Scheduling. In EURO XXII: 22nd European Conference on Operational Research (Book of Abstracts) (p. 143). http://hdl.handle.net/20.500.12708/51824 / Project: Softnet
  • Tabu Search for Generalized Hypertree Decompositions / Musliu, N. (2007). Tabu Search for Generalized Hypertree Decompositions. In MIC 2007: The Seventh Metaheuristics International Conference (p. 3). http://hdl.handle.net/20.500.12708/51823 / Project: Hypertree
  • Generation of Tree Decompositions by Iterated Local Search / Musliu, N. (2007). Generation of Tree Decompositions by Iterated Local Search. In Proceedings of the Seventh European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2007, LNCS, Volume 4446 (pp. 130–141). http://hdl.handle.net/20.500.12708/51799 / Project: Hypertree

2006

2005

2004

  • A Heuristic Based System for Generation of Shifts with Breaks / Gärtner, J., Musliu, N., & Slany, W. (2004). A Heuristic Based System for Generation of Shifts with Breaks. In Proceedings of the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 95–106). Springer. http://hdl.handle.net/20.500.12708/50981

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2023

2022

2021

2020

2019

2018

2017

2016

2014

2013

2008

 

  • Best Industry and Applications Track Paper Award
    2022 / ICAPS 2022 / Singapore / Website
  • Best Practices in Education Award
    2019 / Informatics Europe / Switzerland / Website
  • Distinguished student (Student i dalluar) award from the University of Prishtina, Kosova.
    1995 / University of Prishitna / Kosovo

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Nysret Musliu’s research profile in TISS .