Publications

We have published/submitted/been working on papers with the following 46 co-authors: Floyd A. Beckford (Duke Kunshan U.), Burak Bilgin (KU Leuven), Edmund K. Burke (U. Nottingham/Stirling), Xinye Cai (Nanjing U. Aeronautics and Astronautics), Josep Carmona (U. Politechnica de Catalunya), Patrick De Causmaecker (KU Leuven), Tianlai Chen (Duke Kunshan U.), Shih-Fen Cheng (Singapore Management U.), Peter Demeester (KU Leuven), Zhun Fan (Shantou U.), Aldy Gunawan (Singapore Management U.), Daniel Handoko (Singapore Management U.), Zhongyi Hu (Wuhan U.), Frank Hutter (U. Freiburg), Graham Kendall (U. Nottingham), Ahmed Kheiri (U. Nottingham/Cardiff U.), Hoong Chuin Lau (Singapore Management U.), Jingwei Li (Duke Kunshan U.), Yajuan Lin (Texas A&M U.), Yuanjun Lin (Duke Kunshan U.), Marius Lindauer (U. Freiburg), Jiang Lingxiao (Singapore Management U.), Jiazheng Miao (Duke Kunshan U.), Samadhi Nallaperuma (U. Sheffield), Dang Viet Anh Nguyen (Singapore Management U./TU Denmark), Gabriela Ochoa (U. Nottingham/Stirling), Ender Ozcan (U. Nottingham), Joel Ribeiro (U. Politechnica de Catalunya), Michele Sebag (INRIA - CNRS - U. Paris Sud XI), Xiwen Shu (Duke Kunshan U.), Pieter Smet (KU Leuven), Muhammad Sulaman (Nanjing U. Aeronautics and Astronautics), Wenxue Sun (Nanjing U. Aeronautics and Astronautics), Kay Chen Tan (City U. Hong Kong), Wim Vancroonenburg (KU Leuven), Greet Vanden Berghe (KU Leuven), Pieter Vansteenwegen (KU Leuven), Pradeep Varakantham (Singapore Management U.), Katja Verbeeck (KU Leuven), Markus Wagner (U. Adelaide), Tony Wauters (KU Leuven), Chao Xia (Nanjing U. Aeronautics and Astronautics), Li Xiang (Singapore Management U.), Tao Xu (Civil Aviation U. China), Yiliang Yuan (Duke Kunshan U.), Huiyuan Zhou (Duke Kunshan U.)

Selected Papers

• Yiliang Yuan, Mustafa Misir. GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking. In the Workshop on AI for New Drug Modalities (AIDrugX), the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024 [PDF]
• Mustafa Misir, Michele Sebag. ALORS: an Algorithm Recommender System. Artificial Intelligence, 244, Elsevier, 2017. [PDF]
• Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir. Designing and Comparing Multiple Portfolios of Parameter Configurations for Online Algorithm Selection. In Proceedings of the 10th Learning and Intelligent OptimizatioN Conference (LION), Napoli, Italy. LNCS 10079, Springer, 2016. [PDF]
• Mustafa Misir, Daniel Handoko, Hoong Chuin Lau. OSCAR: Online Selection of Algorithm Portfolios with Case Study on Memetic Algorithms. In Proceedings of the 9th Learning and Intelligent OptimizatioN Conference (LION), Lille, France. LNCS 8994, Springer, 2015. [PDF] [BEST PAPER RUNNER-UP]
• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. A New Hyper-heuristic as a General Problem Solver: an Implementation in HyFlex. Journal of Scheduling, 16(3), Springer, 2013. [PDF]

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Journal Articles

• Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Pieter Vansteenwegen. Deep Reinforcement Learning Framework for Solving the Stochastic E-Waste Collection Problem. European Journal of Operational Research, Elsevier, 2025 [PDF]
• Jiazheng Miao, Tianlai Chen, Mustafa Misir, Yajuan Lin. Deep Learning for Predicting 16S rRNA Copy Number. Scientific Reports, 14(1), Nature Portfolio, 2024 [PDF]
• Tianlai Chen, Xiwen Shu, Huiyuan Zhou, Floyd A. Beckford, Mustafa Misir. Algorithm Selection for Protein-Ligand Docking: Strategies and Analysis on ACE. Scientific Reports, 13(1), Nature Portfolio, 2023 [PDF]
• Xinye Cai, Wenxue Sun, Mustafa Misir, Qin Kai, K.C. Tan, Zhun Fan. A Bi-objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm. IEEE Transactions on Cybernetics, 51(9), IEEE, 2021 [PDF]
• Markus Wagner, Marius Lindauer, Mustafa Misir, Samadhi Nallaperuma, Frank Hutter. A Case Study of Algorithm Selection for the Traveling Thief Problem. Journal of Heuristics (arXiv:1609.00462), 24(3), Springer, 2018. [PDF]
• Mustafa Misir, Michele Sebag. ALORS: an Algorithm Recommender System. Artificial Intelligence, 244, Elsevier, 2017. [PDF]
• Mustafa Misir, Pieter Smet, Greet Vanden Berghe. An Analysis of Generalised Heuristics for Vehicle Routing and Personnel Rostering Problems. Journal of the Operational Research Society, 66(5), Palgrave Macmillan, 2015. [PDF]
• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. An Investigation on the Generality Level of Selection Hyper-heuristics under Different Empirical Conditions. Applied Soft Computing, 13(7), Elsevier, 2013. [PDF]
• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. A New Hyper-heuristic as a General Problem Solver: an Implementation in HyFlex. Journal of Scheduling, 16(3), Springer, 2013. [PDF]
• Burak Bilgin, Peter Demeester, Mustafa Misir, Wim Vancroonenburg, Greet Vanden Berghe. One Hyperheuristic Approach to Two Timetabling Problems in Health Care. Journal of Heuristics, 18(3), Springer, 2012. [PDF]
• Edmund Burke, Graham Kendall, Mustafa Misir, Ender Ozcan. Monte Carlo Hyper-heuristics for Examination Timetabling. Annals of Operations Research, 196(1), Springer, 2012. [PDF]
• Ender Ozcan, Mustafa Misir, Gabriela Ochoa, Edmund Burke. A Reinforcement Learning - Great Deluge Hyperheuristic for Examination Timetabling. International Journal of Applied Metaheuristic Computing, 1(1), p.39-59, IGI Global, 2010. [PDF]

Book Chapters

• Mustafa Misir. Hyper-heuristics: Autonomous Problem Solvers. In Automated Machine Learning and Search, Springer, 2021 [PDF]
• Mustafa Misir, Hoong Chuin Lau. Towards Personalized Data-driven Bundle Design with QoS Constraint. In New Ideas in Business and Consumer Analytics, Springer, 2019. [PDF]
• Mustafa Misir, Tony Wauters, Katja Verbeeck, Greet Vanden Berghe. A Hyper-heuristic with Learning Automata for the Traveling Tournament Problem. In Metaheuristics: Intelligent Decision Making, the 8th Metaheuristics International Conference - Post Conference Volume, OR/CS Interfaces Series, Springer, 2011. [PDF] [DATASET]

International Conference/Workshop Papers/Abstracts

• Mustafa Misir, Algy Gunawan. Outperforming the Best with Limited Effort: Algorithm Selection for Constrained Multi-objective Optimization. In Proceedings of the 24th IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China. IEEE, 2025 [PDF]
• Yinuo Guo, Mustafa Misir, Zhongyi Hu. Enhancing AutoML with Algorithm Selection: A Path to Better Performance. In Proceedings of the International Conference on Optimization and Learning (OLA), Dubai, UAE. CCIS XX, Springer, 2025 [PDF]
• Yiliang Yuan, Mustafa Misir. GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking. In the Workshop on AI for New Drug Modalities (AIDrugX), the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024 [PDF]
• Yinuo Guo, Mustafa Misir. Algorithm Selection for Robust Automated Machine Learning. In the 6th Data Science for Optimization (DSO) Workshop, International Joint Conference on Artificial Intelligence (IJCAI), Jeju, Korea, 2024 [PDF]
• Yiliang Yuan, Mustafa Misir. Enhancing Molecular Docking with GNN-based Algorithm Selection. In the 8th International Conference on Computational Biology and Bioinformatics (ICCBB), Kyoto, Japan. ACM Proceedings, 2024 [PDF]
• Mustafa Misir. Algorithm Selection for Protein Structure Prediction on 2D AB Off-lattice Model. In the 8th International Conference on Computational Biology and Bioinformatics (ICCBB), Kyoto, Japan. ACM Proceedings, 2024 [PDF]
• Yiliang Yuan, Mustafa Misir. Algorithm Selection on Molecular Docking for State-of-the-Art Performance. In the 8th International Conference on Computer Science and Artificial Intelligence (CSAI), Beijing, China. ACM Proceedings, 2024 [PDF]
• Zhongyi Hu, Fangrui Dong, Jiang Wu, Mustafa Misir. Prediction of Banking Customer Churn Based on XGBoost with Feature Fusion. In the 23rd Wuhan International Conference on E-business (WHICEB), Wuhan, China. LNBIP 517, Springer, 2024 [PDF]
• Zhongyi Hu, Xue Li, Mustafa Misir. Tourism Demand Forecasting with Multi-terminal Search Query Data and Deep Learning. In the 23rd Wuhan International Conference on E-business (WHICEB), Wuhan, China. LNBIP 517, Springer, 2024 [PDF]
• Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Pieter Vansteenwegen. Q-learning Based Framework for Solving the Stochastic E-waste Collection Problem. In the 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Aberystwyth, Wales, UK, 2024 [PDF]
• Mustafa Misir. Characterization of CEC Single-Objective Optimization Competition Benchmarks and Algorithms. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Mexico, IEEE, 2023 [PDF]
• Aldy Gunawan, Minh Pham Kien Nguyen, Vincent F. Yu, Mustafa Misir. An Adaptive Large Neighborhood Search for Heterogeneous Vehicle Routing Problem with Time Windows. In Proceedings of the 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand. IEEE, 2023 [PDF]
• Jingwei Li, Yuanjun Lin, Mustafa Misir. Neural Network based Heuristic Selection for Selection Hyper-heuristics. In Proceedings of the 22nd IEEE Congress on Evolutionary Computation (CEC), Chicago, IL, USA. IEEE, 2023 [PDF]
• Mustafa Misir, Xinye Cai. Algorithm Selection for Large-Scale Multi-objective Optimization. In Proceedings of the International Conference on Optimization and Learning (OLA), Malaga, Spain. CCIS 1824, Springer, 2023 [PDF]
• Mustafa Misir. Cross-domain Algorithm Selection: Algorithm Selection across Selection Hyper-heuristics. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, IEEE, 2022 [PDF]
• Mustafa Misir. Algorithm Selection across Algorithm Configurators: A Case Study on Multi-objective Optimization. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, IEEE, 2022 [PDF]
• Mustafa Misir. Automated Portfolio Generation for Selection Hyper-heuristics: an Application to Protein Structure Prediction on 2D HP Model. In Proceedings of the 19th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Ottawa, ON, Canada. IEEE, 2022 [PDF]
• Mustafa Misir, Aldy Gunawan, Pieter Vansteenwegen. Algorithm Selection for the Team Orienteering Problem. In Proceedings of the 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Madrid, Spain. LNCS 12931, Springer, 2022 [PDF]
• Mustafa Misir. Generalized Automated Energy Function Selection for Protein Structure Prediction on 2D and 3D HP Models. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Virtual. 2021 [PDF]
• Mustafa Misir. Selection-based Per-Instance Heuristic Generation for Protein Structure Prediction of 2D HP Model. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Virtual. 2021 [PDF]
• Mustafa Misir. Benchmark Set Reduction for Cheap Empirical Algorithmic Studies. In Proceedings of the 20th IEEE Congress on Evolutionary Computation (CEC), Virtual. 2021 [PDF]
• Mustafa Misir. Algorithm Selection on Adaptive Operator Selection: a Case Study on Genetic Algorithms. In Proceedings of the 15th Learning and Intelligent OptimizatioN Conference (LION), Virtual. LNCS 12931, Springer, 2021 [PDF]
• Mustafa Misir. Algorithm Selection for Protein Structure Prediction on 2D AB Off-lattice Model. In the 15th Learning and Intelligent OptimizatioN Conference (LION), Virtual (Presentation Only), 2021 [PDF]
• Mustafa Misir. Algorithm Selection across Selection Hyper-heuristics. In the DSO @ IJCAI 2020 workshop at the 29th International Joint Conference on Artificial Intelligence (IJCAI), Virtual, 2021 [PDF]
• Mustafa Misir. Active Matrix Completion for Algorithm Selection. In Proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science (LOD), Siena-Tuscany, Italy. LNCS 11943, Springer, 2019 / 2020 [PDF]
• Mustafa Misir. Matrix Factorization based Benchmark Set Analysis: a Case Study on HyFlex. In Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL), Shenzhen, China. LNCS 10593, Springer, 2017. [PDF]
• Muhammad Sulaman, Xinye Cai, Mustafa Misir, Zhun Fan. Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery. In Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL), Shenzhen, China. LNCS 10593, Springer, 2017. [PDF]
• Wenxue Sun, Xinye Cai, Chao Xia, Muhammad Sulaman, Mustafa Misir, Zhun Fan. Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem. In Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL), Shenzhen, China. LNCS 10593, Springer, 2017. [PDF]
• Mustafa Misir. Data Sampling through Collaborative Filtering for Algorithm Selection. In Proceedings of the 16th IEEE Congress on Evolutionary Computation (CEC), Donostia, Spain. 2017. [PDF]
• Mustafa Misir. Matrix Factorization based Benchmark Set Analysis: a Case Study on HyFlex. In the Workshop on Data Science meets Optimisation (DSO), Donostia, Spain. 2017. [PDF]
• Hoong Chuin Lau, Mustafa Misir, Li Xiang, Jiang Lingxiao. ADVISER+: Toward a Usable Web-based Algorithm Portfolio Deviser. In Proceedings of the 12th Metaheuristics International Conference (MIC), Barcelona, Spain. 2017. [PDF] [ONLINE SYSTEM]
• Ender Ozcan, Mustafa Misir, Ahmed Kheiri. Ensemble Move Acceptance in Selection Hyper-heuristics. In Proceedings of the 31st International Symposium on Computer and Information Sciences (ISCIS), Krakow, Poland. CCIS 659, Springer, 2016. [PDF]
• Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir. Designing and Comparing Multiple Portfolios of Parameter Configurations for Online Algorithm Selection. In Proceedings of the 10th Learning and Intelligent OptimizatioN Conference (LION), Napoli, Italy. LNCS 10079, Springer, 2016. [PDF]
• Aldy Gunawan, Mustafa Misir, Hoong Chuin Lau. Designing a Portfolio of Parameter Configurations for Online Algorithm Selection. In the 29th AAAI Conference on Artificial Intelligence: Workshop on Algorithm Configuration (AlgoConf), Austin/Texas, USA. AAAI, 2015. [PDF]
• Mustafa Misir, Daniel Handoko, Hoong Chuin Lau. OSCAR: Online Selection of Algorithm Portfolios with Case Study on Memetic Algorithms. In Proceedings of the 9th Learning and Intelligent OptimizatioN Conference (LION), Lille, France. LNCS 8994, Springer, 2015. [PDF] [BEST PAPER RUNNER-UP]
• Mustafa Misir, Daniel Handoko, Hoong Chuin Lau. ADVISER: A Web-based Algorithm Portfolio Deviser. In Proceedings of the 9th Learning and Intelligent OptimizatioN Conference (LION), Lille, France. LNCS 8994, Springer, 2015. [PDF] [ONLINE SYSTEM]
• Joel Ribeiro, Josep Carmona, Mustafa Misir, Michele Sebag. A Recommender System for Process Discovery. In Proceedings of the 12th International Conference on Business Process Management (BPM), Eindhoven, Netherlands. LNCS 8659, Springer, 2014. [PDF]
• Mustafa Misir, Hoong Chuin Lau. Diversity-Oriented Bi-Objective Hyper-heuristics for Patrol Scheduling. In Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT), York, UK. 2014. [PDF]
• Mustafa Misir, Daniel Handoko, Hoong Chuin Lau. Building Algorithm Portfolios for Memetic Algorithms. In Proceedings of the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO) Companion, Vancouver/British Columbia, Canada. ACM, 2014. [PDF]
• Mustafa Misir, Shih-Fen Cheng, Hoong Chuin Lau, Pradeep Varakantham. A Dynamic Bundle Recommender System for Leisure Parks. In the Production and Operations Management Society International Conference (POMS), Singapore. POMS, 2014. [PDF]
• Ender Ozcan, Mustafa Misir, Ahmed Kheiri. Group Decision Making in Selection Hyperheuristics. In Proceedings of the 13th Annual Workshop on Computational Intelligence (UKCI), Surrey, UK. 2013. [PDF]
• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. The Effect of the Set of Low-level Heuristics on the Performance of Selection Hyper-heuristics. In Proceedings of the 12th International Conference on Parallel Problem Solving From Nature (PPSN), Taormina, Italy. LNCS 7492, Springer, 2012. [PDF]
• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. An Intelligent Hyper-heuristic Framework for CHeSC 2011. In Proceedings of the 6th Learning and Intelligent OptimizatioN Conference (LION), Paris, France. LNCS 7219, Springer, 2012. [PDF] [COMPETITION: CHeSC 2011 WINNER] [SOFTWARE]
• Mustafa Misir, Patrick De Causmaecker, Greet Vanden Berghe, Katja Verbeeck. A New Hyper-heuristic Implementation in HyFlex: a Study on Generality. In Proceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC), Gent, Belgium. 2011. [PDF]
• Mustafa Misir, Pieter Smet, Katja Verbeeck, Greet Vanden Berghe. Security Personnel Routing and Rostering: a Hyper-heuristic Approach. In Proceedings of the 3rd International Conference on Applied Operational Research (ICAOR), Istanbul, Turkey. LNMS 3, Tadbir, 2011. [PDF]
• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. A New Hyper-heuristic Implementation in HyFlex: a Study on Generality. In Proceedings of the 5th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA), Phoenix/Arizona, USA. 2011. [PDF]
• Mustafa Misir, Wim Vancroonenburg, Katja Verbeeck, Greet Vanden Berghe. A Selection Hyper-heuristic for Scheduling Deliveries of Ready-Mixed Concrete. In Proceedings of the 9th Metaheuristics International Conference (MIC), Udine, Italy. 2011. [PDF] [DATASET]
• Wim Vancroonenburg, Mustafa Misir, Burak Bilgin, Peter Demeester, Greet Vanden Berghe. Hyper-heuristic Approach for Assigning Patients to Hospital Rooms. In Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT), Belfast, Northern Ireland. 2010. [PDF]
• Burak Bilgin, Peter Demeester, Mustafa Misir, Wim Vancroonenburg, Greet Vanden Berghe, Tony Wauters. A Hyper-heuristic Combined with a Greedy Shuffle Approach to the Nurse Rostering Competition. In Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT), Belfast, Northern Ireland. 2010. [PDF] [COMPETITION: INRC 2010 FINALIST]
• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. Hyper-heuristics with a Dynamic Heuristic Set for the Home Care Scheduling Problem. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Barcelona, Spain. IEEE, 2010. [PDF]
• Mustafa Misir, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker. A Hyper-heuristic Approach to the Home Care Scheduling Problem. In Proceedings of the 14th Belgian-French-German Conference on Optimization (BFG), Leuven, Belgium. 2009. [PDF]
• Mustafa Misir, Burak Bilgin, Peter Demeester, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. A Hyper-heuristic Approach to the Patient Admission Scheduling Problem. In Proceedings of the 35th International Conference of Operational Research Applied to Health Services (ORAHS), Leuven, Belgium. 2009. [PDF]
• Mustafa Misir, Tony Wauters, Katja Verbeeck, Greet Vanden Berghe. A New Learning Hyper-heuristic for the Traveling Tournament Problem. In Proceedings of the 8th Metaheuristics International Conference (MIC), Hamburg, Germany. 2009. [PDF]
• Ender Ozcan, Mustafa Misir, Edmund Burke. A Self-organising Hyper-heuristic Framework. In Proceedings of the 4th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA), Dublin, Ireland. 2009. [PDF]
• Edmund Burke, Mustafa Misir, Gabriela Ochoa, Ender Ozcan. Learning Heuristic Selection in Hyperheuristics for Examination Timetabling. In Proceedings of the 7th International Conference of Practice and Theory of Automated Timetabling (PATAT), Montreal, Canada. 2008. [PDF]
• Edmund Burke, Graham Kendall, Mustafa Misir, Ender Ozcan. A Study of Simulated Annealing Hyperheuristics. In Proceedings of the 7th International Conference of Practice and Theory of Automated Timetabling (PATAT), Montreal, Canada. 2008. [PDF]

National Conference/Workshop Papers/Abstracts

• Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe. Design Principles and Performance Analysis of a Selection Hyper-heuristic across Multiple Problem Domains. In Proceedings of the 26th Belgian Conference on Operations Research (ORBEL), Brussels, Belgium. 2012. [PDF]
• Mustafa Misir, Patrick De Causmaecker, Greet Vanden Berghe, Katja Verbeeck. An Adaptive Selection Hyper-heuristic for CHeSC 2011. In Proceedings of the OR53 Annual Conference, Nottingham, UK. 2011. [PDF]
• Mustafa Misir, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker. Design of a Generic Selection Hyper-heuristic. In Proceedings of the 25th Belgian Conference on Operations Research (ORBEL), Gent, Belgium. 2011. [PDF]
• Pieter Smet, Mustafa Misir, Greet Vanden Berghe. An Introduction to New Application Domains for the Home Care Scheduling Problem. In Proceedings of the 25th Belgian Conference on Operations Research (ORBEL), Gent, Belgium. 2011. [PDF]
• Wim Vancroonenburg, Mustafa Misir, Greet Vanden Berghe. A Hyper-heuristic Approach for the Ready-Mixed Concrete Delivery Problem. In Proceedings of the 25th Belgian Conference on Operations Research (ORBEL), Gent, Belgium. 2011. [PDF] [DATASET]
• Mustafa Misir, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker. Hyper-heuristics Learning a Varying Set of Low-level Heuristics. In Proceedings of the 24th Belgian Conference on Operations Research (ORBEL), Liege, Belgium. 2010. [PDF]
• Mustafa Misir, Patrick De Causmaecker, Katja Verbeeck, Greet Vanden Berghe. Hyper-heuristics: Raising the Level of Generality. In Proceedings of the 23rd Belgian Conference on Operations Research (ORBEL), Leuven, Belgium. 2009. [PDF]

Technical Reports

• Mustafa Misir, Michele Sebag. Algorithm Selection as a Collaborative Filtering Problem. Technical Report, INRIA. 2013. [PDF]
• Mustafa Misir, Wim Vancroonenburg, Katja Verbeeck, Greet Vanden Berghe. A New Hyper-heuristic Approach to the Ready-Mixed Concrete Delivery Problem. CS Technical Report, KAHO Sint-Lieven. 2011. [PDF]
• Mustafa Misir, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker. A Hyper-heuristic Approach to the Home Care Scheduling Problem. CS Technical Report, KAHO Sint-Lieven. 2009. [PDF]

Thesis

• Mustafa Misir. Intelligent Hyperheuristics: A Tool for Solving Generic Optimisation Problems. PhD Dissertation, Department of Computer Science, KU Leuven. 2012. [PDF] [ERCIM COR BAAYEN AWARD 2013 FINALIST]