Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Catholic University of Leuven (Belgium) 2012
• 

  Academic Positions Outside Duke

  • Assoc. Prof. (Department Chair & Vice Dean of Engineering Faculty), Istinye University (Turkey), Department of Computer Engineering. 2019 - 2021
  • Assoc. Prof. , Nanjing University of Aeronautics and Astronautics (China), College of Computer Science and Technology. 2016 - 2019
  • Postdoctoral Researcher, University of Freiburg (Germany), Department of Computer Science. 2015 - 2016
  • Postdoctoral Researcher, Singapore Management University (Singapore), School of Information Systems. 2013 - 2015
  • Visiting Researcher, University of Zurich (Switzerland), Department of Informatics. 2013
  • Visiting Researcher, Universitat Politecnica de Catalunya (Spain), Department of Software. 2013
  • Postdoctoral Researcher (ERCIM Marie Curie Fellow), Universite Paris-Sud XI & INRIA Saclay (France). 2012 - 2013
  • Doctoral Researcher, KU Leuven (Belgium), Department of Computer Science. 2009 - 2012
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Cai, Xinye, Wenxue Sun, Mustafa Misir, Kay Chen Tan, Xiaoping Li, Tao Xu, and Zhun Fan. “A Bi-Objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm.” Ieee Transactions on Cybernetics 51, no. 9 (September 2021): 4488–4500. https://doi.org/10.1109/tcyb.2019.2956974.
       Full Text
    • Wagner, M., M. Lindauer, M. Mısır, S. Nallaperuma, and F. Hutter. “A case study of algorithm selection for the traveling thief problem.” Journal of Heuristics 24, no. 3 (June 1, 2018): 295–320. https://doi.org/10.1007/s10732-017-9328-y.
       Full Text
    • Mısır, M., and M. Sebag. “ALORS: An algorithm recommender system.” Artificial Intelligence 244 (March 1, 2017): 291–314. https://doi.org/10.1016/j.artint.2016.12.001.
       Full Text
    • Misir, M., P. Smet, and G. Vanden Berghe. “An analysis of generalised heuristics for vehicle routing and personnel rostering problems.” Journal of the Operational Research Society 66, no. 5 (May 20, 2015): 858–70. https://doi.org/10.1057/jors.2014.11.
       Full Text
    • Misir, M., K. Verbeeck, P. De Causmaecker, and G. Vanden Berghe. “An investigation on the generality level of selection hyper-heuristics under different empirical conditions.” Applied Soft Computing Journal 13, no. 7 (January 1, 2013): 3335–53. https://doi.org/10.1016/j.asoc.2013.02.006.
       Full Text
    • Mısır, M., K. Verbeeck, P. D. Causmaecker, and G. V. Berghe. “A new hyper-heuristic as a general problem solver: An implementation in HyFlex.” Journal of Scheduling 16, no. 3 (January 1, 2013): 291–311. https://doi.org/10.1007/s10951-012-0295-8.
       Full Text
    • Bilgin, B., P. Demeester, M. Misir, W. Vancroonenburg, and G. Vanden Berghe. “One hyper-heuristic approach to two timetabling problems in health care.” Journal of Heuristics 18, no. 3 (June 1, 2012): 401–34. https://doi.org/10.1007/s10732-011-9192-0.
       Full Text
    • Burke, E. K., G. Kendall, M. Mısır, and E. Özcan. “Monte Carlo hyper-heuristics for examination timetabling.” Annals of Operations Research 196, no. 1 (January 1, 2012): 73–90. https://doi.org/10.1007/s10479-010-0782-2.
       Full Text
    • Özcan, Ender, Mustafa Misir, Gabriela Ochoa, and Edmund K. Burke. “A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling.” International Journal of Applied Metaheuristic Computing 1, no. 1 (January 1, 2010): 39–59. https://doi.org/10.4018/jamc.2010102603.
       Full Text

  • Book Sections

    • Mısır, M. “Hyper-heuristics: Autonomous Problem Solvers.” In Natural Computing Series, 109–31, 2021. https://doi.org/10.1007/978-3-030-72069-8_7.
       Full Text
    • Mısır, M., and H. Chuin Lau. “Towards Personalized Data-Driven Bundle Design with QoS Constraint.” In Business and Consumer Analytics: New Ideas, 865–909, 2019. https://doi.org/10.1007/978-3-030-06222-4_23.
       Full Text

  • Conference Papers

    • Misir, M. “Automated Portfolio Generation for Selection Hyper-heuristics: an Application to Protein Structure Prediction on 2D HP Model.” In 2022 Ieee Conference on Computational Intelligence in Bioinformatics and Computational Biology, Cibcb 2022, 2022. https://doi.org/10.1109/CIBCB55180.2022.9863039.
       Full Text
    • Misir, M. “Cross-domain Algorithm Selection: Algorithm Selection across Selection Hyper-heuristics.” In Proceedings of the 2022 Ieee Symposium Series on Computational Intelligence, Ssci 2022, 22–29, 2022. https://doi.org/10.1109/SSCI51031.2022.10022078.
       Full Text
    • Misir, M. “Algorithm Selection across Algorithm Configurators A Case Study on Multi-objective Optimization.” In Proceedings of the 2022 Ieee Symposium Series on Computational Intelligence, Ssci 2022, 1–5, 2022. https://doi.org/10.1109/SSCI51031.2022.10022231.
       Full Text
    • Mısır, M., A. Gunawan, and P. Vansteenwegen. “Algorithm Selection for the Team Orienteering Problem.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13222 LNCS:33–45, 2022. https://doi.org/10.1007/978-3-031-04148-8_3.
       Full Text
    • M\is\ir, Mustafa. “Algorithm Selection on Adaptive Operator Selection: A Case Study on Genetic Algorithms.” In Learning and Intelligent Optimization, edited by Dimitris E. Simos, Panos M. Pardalos, and Ilias S. Kotsireas, 237–51. Cham: Springer International Publishing, 2021.
    • Misir, M. “Generalized Automated Energy Function Selection for Protein Structure Prediction on 2D and 3D HP Models.” In 2021 Ieee Symposium Series on Computational Intelligence, Ssci 2021  Proceedings, 2021. https://doi.org/10.1109/SSCI50451.2021.9659895.
       Full Text
    • Misir, M. “Selection-based Per-Instance Heuristic Generation for Protein Structure Prediction of 2D HP Model.” In 2021 Ieee Symposium Series on Computational Intelligence, Ssci 2021  Proceedings, 2021. https://doi.org/10.1109/SSCI50451.2021.9660025.
       Full Text
    • Mısır, M. “Benchmark Set Reduction for Cheap Empirical Algorithmic Studies.” In 2021 Ieee Congress on Evolutionary Computation, Cec 2021  Proceedings, 871–77, 2021. https://doi.org/10.1109/CEC45853.2021.9505012.
       Full Text
    • Mısır, M. “Active Matrix Completion for Algorithm Selection.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11943 LNCS:321–34, 2019. https://doi.org/10.1007/978-3-030-37599-7_27.
       Full Text
    • Mislr, M. “Data sampling through collaborative filtering for algorithm selection.” In 2017 Ieee Congress on Evolutionary Computation, Cec 2017  Proceedings, 2494–2501, 2017. https://doi.org/10.1109/CEC.2017.7969608.
       Full Text
    • Mısır, M. “Matrix factorization based benchmark set analysis: A case study on HyFlex.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10593 LNCS:184–95, 2017. https://doi.org/10.1007/978-3-319-68759-9_16.
       Full Text
    • Sulaman, M., X. Cai, M. Mısır, and Z. Fan. “Simulated annealing with a time-slot heuristic for ready-mix concrete delivery.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10593 LNCS:39–50, 2017. https://doi.org/10.1007/978-3-319-68759-9_4.
       Full Text
    • Sun, W., X. Cai, C. Xia, M. Sulaman, M. Mısır, and Z. Fan. “Greedy based pareto local search for bi-objective robust airport gate assignment problem.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10593 LNCS:694–705, 2017. https://doi.org/10.1007/978-3-319-68759-9_56.
       Full Text
    • Gunawan, A., H. C. Lau, and M. Mısır. “Designing and comparing multiple portfolios of parameter configurations for online algorithm selection.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10079 LNCS:91–106, 2016. https://doi.org/10.1007/978-3-319-50349-3_7.
       Full Text
    • Kheiri, A., M. Mısır, and E. Özcan. “Ensemble move acceptance in selection hyper-heuristics.” In Communications in Computer and Information Science, 659:21–29, 2016. https://doi.org/10.1007/978-3-319-47217-1_3.
       Full Text
    • Gunawan, A., H. C. Lau, and M. Misir. “Designing a portfolio of parameter configurations for online algorithm selection.” In Aaai Workshop  Technical Report, WS-15-01:2–8, 2015.
    • Mısır, M., S. D. Handoko, and H. C. Lau. “ADVISER: A web-based algorithm portfolio deviser.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8994:23–28, 2015. https://doi.org/10.1007/978-3-319-19084-6_3.
       Full Text
    • Mısır, M., S. D. Handoko, and H. C. Lau. “OSCAR: Online selection of algorithm portfolios with case study on memetic algorithms.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8994:59–73, 2015. https://doi.org/10.1007/978-3-319-19084-6_6.
       Full Text
    • Misir, M., S. D. Handoko, and H. C. Lau. “Building algorithm portfolios for memetic algorithms.” In Gecco 2014  Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, 197–98, 2014. https://doi.org/10.1145/2598394.2598455.
       Full Text
    • Mısır, M., and H. C. Lau. “Diversity-Oriented Bi-Objective Hyper-heuristics for Patrol Scheduling.” In Patat 2014  Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling, 318–29, 2014.
    • Ribeiro, J., J. Carmona, M. Misir, and M. Sebag. “A recommender system for process discovery.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8659 LNCS:67–83, 2014. https://doi.org/10.1007/978-3-319-10172-9_5.
       Full Text
    • Ozcan, E., M. Misir, and A. Kheiri. “Group decision making hyper-heuristics for function optimisation.” In 2013 13th Uk Workshop on Computational Intelligence, Ukci 2013, 327–33, 2013. https://doi.org/10.1109/UKCI.2013.6651324.
       Full Text
    • Misir, M., K. Verbeeck, P. De Causmaecker, and G. Vanden Berghe. “An intelligent hyper-heuristic framework for CHeSC 2011.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7219 LNCS:461–66, 2012. https://doi.org/10.1007/978-3-642-34413-8_45.
       Full Text
    • Misir, M., K. Verbeeck, P. De Causmaecker, and G. Vanden Berghe. “The effect of the set of low-level heuristics on the performance of selection hyper-heuristics.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7492 LNCS:408–17, 2012. https://doi.org/10.1007/978-3-642-32964-7_41.
       Full Text
    • Misir, M., K. Verbeeck, P. De Causmaecker, and G. V. Berghe. “A new hyper-heuristic implementation in HyFlex: a study on generality.” In Belgian/Netherlands Artificial Intelligence Conference, 2011.
    • Misir, M., K. Verbeeck, P. De Causmaecker, and G. V. Berghe. “Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem.” In 2010 Ieee World Congress on Computational Intelligence, Wcci 2010  2010 Ieee Congress on Evolutionary Computation, Cec 2010, 2010. https://doi.org/10.1109/CEC.2010.5586348.
       Full Text
    • Vancroonenburg, W., M. Misir, B. Bilgin, P. Demeester, and G. V. Berghe. “A hyper-heuristic approach for assigning patients to hospital rooms.” In Patat 2010  Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling, 553–55, 2010.
    • Burke, E. K., G. Kendall, M. Mısır, and E. Özcan. “A study of simulated annealing hyperheuristics.” In 7th International Conference on the Practice and Theory of Automated Timetabling, Patat 2008, 2008.
    • Burke, E. K., M. Mısır, G. Ochoa, and E. Özcan. “Learning heuristic selection in hyperheuristics for examination timetabling.” In 7th International Conference on the Practice and Theory of Automated Timetabling, Patat 2008, 2008.

Some information on this profile has been compiled automatically from Duke databases and external sources. (Our About page explains how this works.) If you see a problem with the information, please write to Scholars@Duke and let us know. We will reply promptly.