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Lackner, M.-L., Mrkvicka, C., Musliu, N., Walkiewicz, D., & Winter, F. (2023). Exact methods for the Oven Scheduling Problem. Constraints, 28(2), 320–361. https://doi.org/10.1007/s10601-023-09347-2 ( reposiTUm)

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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 ( reposiTUm)

Vass, J., Lackner, M.-L., Mrkvicka, C., Musliu, N., & Winter, F. (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 ( reposiTUm)

Mischek, F., & Musliu, N. (2021). A local search framework for industrial test laboratory scheduling. Annals of Operations Research, 302, 533–562. https://doi.org/10.1007/s10479-021-04007-1 ( reposiTUm)

Winter, F., & Musliu, N. (2021). Constraint-based Scheduling for Paint Shops in the Automotive Supply Industry. ACM Transactions on Intelligent Systems and Technology, 12(2), 1–25. https://doi.org/10.1145/3430710 ( reposiTUm)

Winter, F., & Musliu, N. (2021). A large neighborhood search approach for the paint shop scheduling problem. Journal of Scheduling, 25(4), 453–475. https://doi.org/10.1007/s10951-021-00713-7 ( reposiTUm)

Mischek, F., Musliu, N., & Schaerf, A. (2021). Local search approaches for the test laboratory scheduling problem with variable task grouping. Journal of Scheduling. https://doi.org/10.1007/s10951-021-00699-2 ( reposiTUm)

De Coster, A., Musliu, N., Schaerf, A., Schoisswohl, J., & Smith-Miles, K. (2021). Algorithm selection and instance space analysis for curriculum-based course timetabling. Journal of Scheduling, 25(1), 35–58. https://doi.org/10.1007/s10951-021-00701-x ( reposiTUm)

Moser, M., Musliu, N., Schaerf, A., & Winter, F. (2021). Exact and metaheuristic approaches for unrelated parallel machine scheduling. Journal of Scheduling, 25(5), 507–534. https://doi.org/10.1007/s10951-021-00714-6 ( reposiTUm)

Özcan, E., Burke, E., Di Gaspero, L., MCCollum, B., & Musliu, N. (2021). Preface: The practice and theory of automated timetabling (2018). Annals of Operations Research, 302(2), 339–340. https://doi.org/10.1007/s10479-021-04117-w ( reposiTUm)

Mischek, F., & Musliu, N. (2021). A local search framework for industrial test laboratory scheduling. Annals of Operations Research, 302(2), 533–562. https://doi.org/10.1007/s10479-021-04007-1 ( reposiTUm)

Kletzander, L., Musliu, N., & Smith-Miles, K. (2021). Instance space analysis for a personnel scheduling problem. Annals of Mathematics and Artificial Intelligence, 89(7), 617–637. https://doi.org/10.1007/s10472-020-09695-2 ( reposiTUm)

Kletzander, L., Musliu, N., & Smith-Miles, K. (2020). Instance space analysis for a personnel scheduling problem. Annals of Mathematics and Artificial Intelligence, 89(7), 617–637. https://doi.org/10.1007/s10472-020-09695-2 ( reposiTUm)

Kletzander, L., & Musliu, N. (2020). Solving the general employee scheduling problem. Computers and Operations Research, 113(104794), 104794. https://doi.org/10.1016/j.cor.2019.104794 ( reposiTUm)

Hebrard, E., & Musliu, N. (2020). Introduction to the CPAIOR 2020 fast track issue. Constraints, 25(3–4), 298–299. https://doi.org/10.1007/s10601-020-09319-w ( reposiTUm)

Demirovic, E., Musliu, N., & Winter, F. (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 ( reposiTUm)

Geiger, M. J., Kletzander, L., & Musliu, N. (2019). Solving the Torpedo Scheduling Problem. Journal of Artificial Intelligence Research, 66, 1–32. https://doi.org/10.1613/jair.1.11303 ( reposiTUm)

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 ( reposiTUm)

Sylejmani, K., Dorn, J., & Musliu, N. (2017). Planning the trip itinerary for tourist groups. Information Technology and Tourism, 17(3), 275–314. https://doi.org/10.1007/s40558-017-0080-9 ( reposiTUm)

Demirović, E., & Musliu, N. (2017). MaxSAT-based large neighborhood search for high school timetabling. Computers and Operations Research, 78, 172–180. https://doi.org/10.1016/j.cor.2016.08.004 ( reposiTUm)

Musliu, N., & Winter, F. (2017). A Hybrid Approach for the Sudoku Problem: Using Constraint Programming in Iterated Local Search. IEEE Intelligent Systems, 32(2), 52–62. https://doi.org/10.1109/mis.2017.29 ( reposiTUm)

Abseher, M., Musliu, N., & Woltran, S. (2017). Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning. Journal of Artificial Intelligence Research, 58, 829–858. https://doi.org/10.1613/jair.5312 ( reposiTUm)

Demirović, E., & Musliu, N. (2017). Modeling high school timetabling with bitvectors. Annals of Operations Research. https://doi.org/10.1007/s10479-016-2220-6 ( reposiTUm)

Bonutti, A., Ceschia, S., De Cesco, F., Musliu, N., & Schaerf, A. (2017). Modeling and solving a real-life multi-skill shift design problem. Annals of Operations Research, 252(2), 365–382. https://doi.org/10.1007/s10479-016-2175-7 ( reposiTUm)

Conrad, K., Musliu, N., Pichler, R., & Werthner, H. (2016). Universities and computer science in the European crisis of refugees. Communications of the ACM, 59(10), 31–33. https://doi.org/10.1145/2893180 ( reposiTUm)

Abseher, M., Gebser, M., Musliu, N., Schaub, T., & Woltran, S. (2016). Shift Design with Answer Set Programming. Fundamenta Informaticae, 147(1), 1–25. http://hdl.handle.net/20.500.12708/149520 ( reposiTUm)

Widl, M., & Musliu, N. (2014). The break scheduling problem: complexity results and practical algorithms. Memetic Computing, 6(2), 97–112. https://doi.org/10.1007/s12293-014-0131-0 ( reposiTUm)

Triska, M., & Musliu, N. (2012). An Effective Greedy Heuristic for the Social Golfer Problem. Annals of Operations Research, 194(1), 413–425. https://doi.org/10.1007/s10479-011-0866-7 ( reposiTUm)

Triska, M., & Musliu, N. (2012). An improved SAT formulation for the social golfer problem. Annals of Operations Research, 194(1), 427–438. https://doi.org/10.1007/s10479-010-0702-5 ( reposiTUm)

Post, G., Kingston, J. H., Ahmadi, S., Daskalaki, S., Gogos, C., Kyngas, J., Nurmi, C., Musliu, N., Pillay, N., Santos, H., & Schaerf, A. (2011). XHSTT: an XML archive for high school timetabling problems in different countries. Annals of Operations Research, 218(1), 295–301. https://doi.org/10.1007/s10479-011-1012-2 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Musliu, N. (2006). Heuristic Methods for Automatic Rotating Workforce Scheduling. International Journal of Computational Intelligence Research, 2(4), 309–326. http://hdl.handle.net/20.500.12708/173438 ( reposiTUm)

Mannelli Mazzoli, T., Kletzander, L., Musliu, N., & Smith-Miles, K. (2024). Instance Space Analysis for the Bus Driver Scheduling Problem. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 20–35). ( reposiTUm)

Da Ros, F., Di Gaspero, L., Lackner, M.-L., Musliu, N., & Winter, F. (2024). Local Search Algorithms for the Oven Scheduling Problem. In GECCO ’24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 191–194). https://doi.org/10.1145/3638530.3654158 ( reposiTUm)

Da Ros, F., Di Gaspero, L., Lackner, M.-L., & Musliu, N. (2024). Reducing Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search. In GECCO ’24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1706–1714). https://doi.org/10.1145/3638530.3664132 ( reposiTUm)

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Winter, F., & Musliu, N. (2024). A Hybrid Approach for the Artificial Teeth Scheduling Problem. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 255–258). ( reposiTUm)

Gjergji, I., & Musliu, N. (2024). Large Neighborhood Search for the Capacitated P-Median Problem. In Metaheuristics : 15th International Conference, MIC 2024, Lorient, France, June 4–7, 2024, Proceedings, Part II (pp. 158–173). Springer. https://doi.org/10.1007/978-3-031-62922-8_11 ( reposiTUm)

Mischek, F., & Musliu, N. (2024). Preference Explanation and Decision Support for Multi-Objective Real-World Test Laboratory Scheduling. In Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (pp. 378–386). AAAI Press. https://doi.org/10.1609/icaps.v34i1.31497 ( reposiTUm)

Kletzander, L., Gjergji, I., & Musliu, N. (2024). Combining Aircraft Maintenance Routing with a Distribution Objective. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 325–328). ( reposiTUm)

Mazzoli, T. M., Kletzander, L., Van Hentenryck, P., & Musliu, N. (2024). Investigating Large Neighbourhood Search for Bus Driver Scheduling. In S. Bernardini & C. Muise (Eds.), Vol. 34 (2024): Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (pp. 360–368). AAAI Press. https://doi.org/10.1609/icaps.v34i1.31495 ( reposiTUm)

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Horn, M., Lackner, M.-L., Mrkvicka, C., Musliu, N., Preininger, J., & Winter, F. (2024). Solving the Employee Task Distribution Problem with Multiple Objectives. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 36–51). http://hdl.handle.net/20.500.12708/209926 ( reposiTUm)

Frohner, N., Mugdan, E., Kletzander, L., & Musliu, N. (2024). A Decision Support System Prototype for Automated Bus Driver Scheduling. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 259–262). http://hdl.handle.net/20.500.12708/209917 ( reposiTUm)

Mischek, F., & Musliu, N. (2023). Leveraging problem-independent hyper-heuristics for real-world test laboratory scheduling. In GECCO ’23: Proceedings of the Genetic and Evolutionary Computation Conference (pp. 321–329). Association for Computing Machinery (ACM). https://doi.org/10.1145/3583131.3590354 ( reposiTUm)

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Kletzander, L., & Musliu, N. (2023). Dynamic Weight Setting for Personnel Scheduling with Many Objectives. In S. Koenig, R. Stern, & M. Vallati (Eds.), Proceedings of the Thirty-Third International Conference on Automated  Planning and Scheduling (pp. 509–517). AAAI Press. https://doi.org/10.1609/icaps.v33i1.27231 ( reposiTUm)

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 ( reposiTUm)

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Winter, F., Meiswinkel, S., Musliu, N., & Walkiewicz, D. (2022). Modeling and Solving Parallel Machine Scheduling with Contamination Constraints in the Agricultural Industry. In 28th International Conference on Principles and Practice of Constraint Programming, CP 2022, July 31 to August 8, 2022, Haifa, Israel (pp. 1–18). https://doi.org/10.4230/LIPIcs.CP.2022.41 ( reposiTUm)

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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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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, Singapore. http://hdl.handle.net/20.500.12708/139763 ( reposiTUm)

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Mrkvicka, C., Musliu, N., Preininger, J., & Winter, F. (2021). Automated Production Scheduling for Artificial Teeth Manufacturing. In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, {ICAPS} 2021, Guangzhou, China (virtual), August 2-13, 2021}, (pp. 500–508). http://hdl.handle.net/20.500.12708/58583 ( reposiTUm)

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Faustmann, G., Mrkvicka, C., Musliu, N., & Winter, F. (2021). Automated configuration of parallel machine dispatching rules by machine learning. In Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2021 - Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France. https://doi.org/10.1145/3449726.3459541 ( reposiTUm)

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Danzinger, P., Geibinger, T., Mischek, F., & Musliu, N. (2020). Solving the Test Laboratory Scheduling Problem with Variable Task Grouping. In Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling (pp. 357–365). http://hdl.handle.net/20.500.12708/58340 ( reposiTUm)

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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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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, United States of America (the). ACM. https://doi.org/10.1145/3205455.3205620 ( reposiTUm)

Kletzander, L., & Musliu, N. (2017). A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem. In Integration of AI and OR Techniques in Constraint Programming (pp. 344–358). Lecture Notes in Computer Science (LNCS) / Springer. https://doi.org/10.1007/978-3-319-59776-8_28 ( reposiTUm)

Abseher, M., Musliu, N., & Woltran, S. (2017). htd - A Free, Open-Source Framework for (Customized) Tree Decompositions and Beyond. In D. Salvagnin & M. Lombardi (Eds.), Integration of AI and OR Techniques in Constraint Programming (pp. 376–386). Lecture Notes in Computer Science / Springer. https://doi.org/10.1007/978-3-319-59776-8_30 ( reposiTUm)

Taghizadeh, G., & Musliu, N. (2017). A Hybrid Feature Selection Algorithm Based on Large Neighborhood Search. In B. Hu & M. López-Ibáñez (Eds.), Evolutionary Computation in Combinatorial Optimization (pp. 30–43). Lecture Notes in Computer Science / Springer. https://doi.org/10.1007/978-3-319-55453-2_3 ( reposiTUm)

Erkinger, C., & Musliu, N. (2017). Personnel Scheduling as Satisfiability Modulo Theories. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia. ijcai.org. https://doi.org/10.24963/ijcai.2017/86 ( reposiTUm)

Demirovic, E., Musliu, N., & Winter, F. (2016). Modeling and solving staff scheduling with partial weighted maxSAT. In PATAT 2016: Proceedings of the 11th International Conference of the Practice and Theory of Automated Timetabling (p. 17). http://hdl.handle.net/20.500.12708/56872 ( reposiTUm)

Demirovic, E., Le Calvar, T., Musliu, N., & Inoue, K. (2016). An Exact Algorithm for Unicost Set Covering. In Doctoral Program of the 22nd International Conference on the Principles and Practice of Constraint Programming (CP 2016) (p. 9). http://hdl.handle.net/20.500.12708/56918 ( reposiTUm)

Rasku, J., Musliu, N., & Kärkkäinen, T. (2016). Feature Extractors for Describing Vehicle Routing Problem Instances. In 5th Student Conference on Operational Research (SCOR 2016) (p. 13). http://hdl.handle.net/20.500.12708/56917 ( reposiTUm)

Mischek, F., & Musliu, N. (2016). Integer Programming and Heuristic Approaches for a Multi-Stage Nurse Rostering Problem. In PATAT 2016: Proceedings of the 11th International Conference of the Practice and Theory of Automated Timetabling (p. 18). http://hdl.handle.net/20.500.12708/56871 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Demirovic, E., & Musliu, N. (2014). Modeling High School Timetabling as PartialWeighted maxSAT. In The Proceedings of 4th Workshop on Logic and Search (a SAT / ICLP workshop at FLoC 2014) (p. 15). http://hdl.handle.net/20.500.12708/55981 ( reposiTUm)

Demirovic, E., & Musliu, N. (2014). Solving High School Timetabling with Satisfiability Modulo Theories. In Proceedings of the 10th International Conference of the Practice and Theory of Automated Timetabling (p. 25). http://hdl.handle.net/20.500.12708/55983 ( reposiTUm)

Pihera, J., & Musliu, N. (2014). Application of Machine Learning to Algorithm Selection for TSP. In 26th IEEE International Conference on Tools with Artificial Intelligence (pp. 47–54). http://hdl.handle.net/20.500.12708/55982 ( reposiTUm)

Bonutti, A., De Cesco, F., Musliu, N., & Schaerf, A. (2014). Modeling and Solving a Real-Life Multi-Skill Shift Design Problem. In Proceedings of the 10th International Conference of the Practice and Theory of Automated Timetabling (p. 3). http://hdl.handle.net/20.500.12708/55984 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Lehrbaum, A., & Musliu, N. (2012). A New Hyperheuristic Algorithm for Cross-Domain Search Problems. In Y. Hamadi & M. Schoenauer (Eds.), Learning and Intelligent Optimization (pp. 437–442). Springer. https://doi.org/10.1007/978-3-642-34413-8_41 ( reposiTUm)

Morak, M., Musliu, N., Pichler, R., Rümmele, S., & Woltran, S. (2012). Evaluating Tree-Decomposition Based Algorithms for Answer Set Programming. In Y. Hamadi & M. Schoenauer (Eds.), Learning and Intelligent Optimization (pp. 130–144). Springer. https://doi.org/10.1007/978-3-642-34413-8_10 ( reposiTUm)

Sylejmani, K., Dorn, J., & Musliu, N. (2012). A Taboo Search approach for solving Multi Constrained Team Orienteering Problem for application in touristic trip planning. In 12th International Conference on HybridIntelligent Systems (pp. 300–305). IEEE Computer Society. http://hdl.handle.net/20.500.12708/54346 ( reposiTUm)

Sylejmani, K., Dorn, J., & Musliu, N. (2012). Tourist trip planning: solo versus group traveling. In 30th Workshop of the UK Planning and Scheduling Special Interest Group. UK Planning and Scheduling Special Interest Group, Austria. SIGPLAN. http://hdl.handle.net/20.500.12708/54347 ( reposiTUm)

Musliu, N. (2011). Constructing Cyclic Staff Schedules by Iterated Local Search. In Proceedings of the 9th Metaheuristic International Conference (MIC 2011) (pp. 655–657). http://hdl.handle.net/20.500.12708/53950 ( reposiTUm)

Morak, M., Musliu, N., Pichler, R., Rümmele, S., & Woltran, S. (2011). A New Tree-Decomposition Based Algorithm for Answer Set Programming. In T. M. Khoshgoftaar & X. Zhu (Eds.), 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence. https://doi.org/10.1109/ictai.2011.154 ( reposiTUm)

Gärtner, J., Musliu, N., Schafhauser, W., & Slany, W. (2011). TEMPLE - A domain specific language for modeling and solving staff scheduling problems. In 2011 IEEE Symposium on Computational Intelligence in Scheduling (SCIS). Symposium on Computational Intelligence in Scheduling (SCIS), Paris, France, EU. https://doi.org/10.1109/scis.2011.5976550 ( reposiTUm)

Triska, M., & Musliu, N. (2011). A Constraint Programming Application for Rotating Workforce Scheduling. In Developing Concepts in Applied Intelligence (pp. 83–88). Studies in Computational Intelligence. https://doi.org/10.1007/978-3-642-21332-8_12 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Musliu, N., Schafhauser, W., & Widl, M. (2009). A Memetic Algorithm for a Break Scheduling Problem. In Cd Mic 2009 (p. 10). http://hdl.handle.net/20.500.12708/52808 ( reposiTUm)

Schafhauser, W., Beer, A., Gärtner, J., Musliu, N., & Slany, W. (2009). Temple - a language for staff scheduling problems. In 23rd EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH, BOOK OF ABSTRACTS (p. 198). http://hdl.handle.net/20.500.12708/52810 ( reposiTUm)

Musliu, N., Beer, A., Gärtner, J., Schafhauser, W., & Slany, W. (2009). Local Search for Shift and Break Scheduling. In 23rd EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH, BOOK OF ABSTRACTS (p. 102). http://hdl.handle.net/20.500.12708/52809 ( reposiTUm)

Beer, A., Gärtner, J., Musliu, N., Schafhauser, W., & Slany, W. (2009). Testing while modelling staff scheduling problems. In 23rd EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH, BOOK OF ABSTRACTS (p. 198). http://hdl.handle.net/20.500.12708/52811 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Dermaku, A., Ganzow, T., Gottlob, G., McMahan, B. J., Musliu, N., & Samer, M. (2008). Heuristic Methods for Hypertree Decomposition. In MICAI 2008: Advances in Artificial Intelligence (pp. 1–11). Springer. https://doi.org/10.1007/978-3-540-88636-5_1 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Musliu, N. (2006). Local Search Algorithm for Unicost Set Covering Problem. In M. Ali & R. Dapoigny (Eds.), Advances in Applied Artificial Intelligence (pp. 302–311). Springer. http://hdl.handle.net/20.500.12708/51362 ( reposiTUm)

Musliu, N. (2006). An Iterative Heuristic Algorithm for Tree Decompositions. In EU/MEeting on Adaptive, Self-Adaptive, and Multi-Level Metaheuristics (pp. 1–5). http://hdl.handle.net/20.500.12708/51669 ( reposiTUm)

Musliu, N. (2005). Min Conflicts Based Heuristics for Rotating Workforce Scheduling Problem. In Proceedings of the 6th Metaheuristics International Conference (p. 6). http://hdl.handle.net/20.500.12708/51027 ( reposiTUm)

Gottlob, G., Grohe, M., Musliu, N., Samer, M., & Scarcello, F. (2005). Hypertree Decompositions: Structure, Algorithms, and Applications. In D. Kratsch (Ed.), Proceedings of the 31st International Workshop on Graph-Theoretic Concepts in Computer Science (pp. 1–15). Springer-Verlag Berlin Heidelberg. http://hdl.handle.net/20.500.12708/51014 ( reposiTUm)

Musliu, N. (2005). Combination of Local Search Strategies for Rotating Workforce Scheduling Problem. In IJCAI-05 Proceedings (pp. 1529–1530). Professional Book Center. http://hdl.handle.net/20.500.12708/51045 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Rasku, J., Musliu, N., & Kärkkäinen, T. (2014). Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison. In Modeling, Simulation and Optimization for Science and Technology. Computational Methods in Applied Sciences, Volume 34 (pp. 191–209). Springer Netherlands. http://hdl.handle.net/20.500.12708/28570 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Di Gaspero, L., Gärtner, J., Kortsarz, G., Musliu, N., Schaerf, A., & Slany, W. (2005). Theory and Practice of the Minimum Shift Design Problem. In In Metaheuristics: Progress as Real Problem Solvers, Ibaraki, Toshihide; Nonobe, Koji; Yagiura, Mutsunori (Eds.) (pp. 159–180). Springer. http://hdl.handle.net/20.500.12708/25353 ( reposiTUm)

Hebrard, E., & Musliu, N. (Eds.). (2020). Integration of Constraint Programming, Artificial Intelligence, and Operations Research. Springer. https://doi.org/10.1007/978-3-030-58942-4 ( reposiTUm)

Musliu, N., Kletzander, L., & Mischek, F. (2024, June 3). AI Techniques for Solving Scheduling Problems [Presentation]. 34th International Conference on Automated Planning and Scheduling (ICAPS 2024), Banaff, Alberta, Canada. http://hdl.handle.net/20.500.12708/210992 ( reposiTUm)

Frohner, N., Mugdan, E., Kletzander, L., & Musliu, N. (2024, October 20). Pareto Front Approximation Results for Bus Driver Scheduling with Complex Constraints [Conference Presentation]. Multi-Objective Decision Making Workshop at ECAI 2024, Santiago de Compostela, Spain. http://hdl.handle.net/20.500.12708/210368 ( reposiTUm)

Mugdan, E., Frohner, N., Kletzander, L., & Musliu, N. (2024, October 20). Towards Multi-Objective Optimization for Rotating Workforce Scheduling [Conference Presentation]. Multi-Objective Decision Making Workshop at ECAI 2024, Santiago de compostela, Spain. http://hdl.handle.net/20.500.12708/208780 ( reposiTUm)

Mischek, F., & Musliu, N. (2022, July 0). Investigating Hyper-heuristics for Real-World Test Laboratory Scheduling [Conference Presentation]. EURO 2022, Espoo, Finland. ( reposiTUm)

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. http://hdl.handle.net/20.500.12708/86907 ( reposiTUm)

Musliu, N. (2014). Scheduling Problems: Case Studies and Solution Techniques. International Conference on Automated Planning and Scheduling (ICAPS), Delft, Netherlands (the). http://hdl.handle.net/20.500.12708/86010 ( reposiTUm)

Musliu, N. (2014). Automated Employee Scheduling. SWORDS 2014 - Szeged WORkshop on Discrete Structures, Szeged, Hungary. http://hdl.handle.net/20.500.12708/86011 ( reposiTUm)

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 ( reposiTUm)

Abseher, M., Musliu, N., & Woltran, S. (2016). htd -- A Free, Open-Source Framework for Tree Decompositions and Beyond (DBAI-TR-2016-96). http://hdl.handle.net/20.500.12708/39077 ( reposiTUm)

Abseher, M., Musliu, N., & Woltran, S. (2016). Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning (DBAI-TR-2016-94). http://hdl.handle.net/20.500.12708/39075 ( reposiTUm)

Morak, M., Musliu, N., Pichler, R., Rümmele, S., & Woltran, S. (2011). Evaluating Tree-Decomposition Based Algorithms for Answer Set Programming (DBAI-TR-2011-73). http://hdl.handle.net/20.500.12708/37104 ( reposiTUm)

Beer, A., Gärtner, J., Musliu, N., Schafhauser, W., & Slany, W. (2009). TEMPLE - A Modeling Language for Resource Planning and Scheduling Problems (DBAI-TR-2009-65). http://hdl.handle.net/20.500.12708/35721 ( reposiTUm)

Musliu, N. (2007). Metaheuristics for scheduling and other hard problems [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/181974 ( reposiTUm)

Musliu, N. (2001). Intelligent search methods for workforce scheduling : new ideas and practical applications [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/179297 ( reposiTUm)