[j] journal articles[c] conference papers and book chapters
in press
[c29] Malek Almousa, Matthias Ehrgott and Ahmed Kheiri (in press) Exploring the optimal camera placement problem and its relationship with the set covering problem. ICBAP. [preprint PDF][DOI]
2023
[j20] Thomas Butterwick, Ahmed Kheiri, Guglielmo Lulli, Joaquim Gromicho and Jasper Kreeft (2023) Application of selection hyper-heuristics to the simultaneous optimisation of turbines and cabling within an offshore windfarm. Renewable Energy, 208:1-16. [PDF][DOI]
[j19] Istenc Tarhan, Konstantinos G. Zografos, Juliana Sutanto and Ahmed Kheiri (2024) A quadrant shrinking heuristic for solving the dynamic multi-objective disaster response personnel routing and scheduling problem. European Journal of Operational Research, 314(2):776-791. [preprint PDF][DOI]
[j18] Istenc Tarhan, Konstantinos G. Zografos, Juliana Sutanto, Ahmed Kheiri and Heru Suhartanto (2023) A multi-objective rolling horizon personnel routing and scheduling approach for natural disasters. Transportation Research Part C: Emerging Technologies, 149:104029. [PDF][DOI]
[c28] Danielle Notice, Ahmed Kheiri and Nicos G. Pavlidis (2023) The algorithm selection problem for solving Sudoku with metaheuristics. In 2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, IL, USA, pages 1-8. [preprint PDF][DOI][source code]
2022
[j17] Jerry Swan, Steven Adraensen, Alexander E.I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Ozcan, Gisele L. Pappa, Pablo Garcia-Sanchez, Kenneth Sorensen, Stefan VoB, Markus Wagner and David R. White (2022) Metaheuristics "in the large". European Journal of Operational Research, 297(2):393-406. [PDF][DOI][source code][invited review paper]
[c27] Matthew Davison, Ahmed Kheiri and Konstantinos Zografos (2022) Optimising scheduling of hybrid learning using mixed integer programming. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2022), Volume III, pages 279-286, ISBN: 978-0-9929984-5-5. [preprint PDF]
[c26] Ahmed Kheiri and Ed Keedwell (2022) Selection hyper-heuristics. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO '22, pages 983-996, New York, NY, USA. ACM. [DOI]
[c25] Jack Brooke, Ahmed Kheiri, Dave Worthington, Aziz Mohamed and Asim Ijaz (2022) An analysis of the emergency department performance at the Royal Lancaster Infirmary. The European Emergency Medicine Congress, CityCube Berlin, Germany. [PDF][technical report]
2021
[j16] Ahmed Kheiri, Angeliki Gretsista, Ed Keedwell, Guglielmo Lulli, Michael G. Epitropakis and Edmund K. Burke (2021) A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem. Computers and Operations Research, 130:105221. [preprint PDF][DOI]
[j15] Ahmed Kheiri, Rhyd Lewis, Jonathan Thompson and Paul Harper (2021) Constructing operating theatre schedules using partitioned graph colouring techniques. Health Systems, 10:4, 286-297. [preprint PDF][DOI]
[c24] Burak Boyaci, Muhammad Ali Nayeem and Ahmed Kheiri (2021) A matheuristic approach for finding effective base locations and team configurations for north west air ambulance. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO '21, pages 1817–1824, New York, NY, USA. ACM. [preprint PDF][DOI]
[c23] Azza O. M. Ahmed, Shahd M. Y. Osman, Terteel E. H. Yousif and Ahmed Kheiri (2021) A reinforcement learning hyper-heuristic for water distribution network optimisation. In 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pages 1-4. [preprint PDF][DOI]
[c22] Aleksandr Pirogov, Konstantinos G. Zografos, Juliana Sutanto and Ahmed Kheiri (2021) Modelling and solving the assisted evacuation problem with risk, efficiency, and fairness considerations. 3rd IMA and OR Society Conference on Mathematics of Operational Research. [PDF]
2020
[j14] Ahmed Kheiri (2020) Heuristic sequence selection for inventory routing problem. Transportation Science, 54(2):302-312. [preprint PDF][DOI][shortlisted for Humies award]
[j13] John H. Drake, Ahmed Kheiri, Ender Ozcan and Edmund K. Burke (2020) Recent advances in selection hyper-heuristics. European Journal of Operational Research, 285(2):405-428. [PDF][DOI][invited review paper]
[j12] Ahmed Kheiri, Leena Ahmed, Burak Boyaci, Joaquim Gromicho, Christine Mumford, Ender Ozcan and Ali Selim Dirikoc (2020) Exact and hyper-heuristic solutions for the distribution-installation problem from the VeRoLog 2019 challenge. Networks, 76(2):294-319. [PDF][DOI]
[c21] Yaroslav Pylyavskyy, Ahmed Kheiri and Leena Ahmed (2020) A reinforcement learning hyper-heuristic for the optimisation of flight connections. In 2020 IEEE Congress on Evolutionary Computation (CEC), pages 1-8. [preprint PDF][DOI][datasets]
[c20] Alexander Steenson, Ender Ozcan, Ahmed Kheiri, Barry McCollum and Paul McMullan (2020) An online learning selection hyper-heuristic for educational timetabling. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2021), Volume I, pages 129-146, ISBN: 978-0-9929984-3-1. [preprint PDF]
2019
[j11] Leena Ahmed, Christine Mumford and Ahmed Kheiri (2019) Solving urban transit route design problem using selection hyper-heuristics. European Journal of Operational Research, 274(2):545-559. [preprint PDF][DOI]
[j10] Ahmed Kheiri, Alina G. Dragomir, David Mueller, Joaquim Gromicho, Caroline Jagtenberg and Jelke J. van Hoorn (2019) Tackling a VRP challenge to redistribute scarce equipment within time windows using metaheuristic algorithms. EURO Journal on Transportation and Logistics, 8(5):561-595. [preprint PDF][DOI]
[c19] Maab Alrasheed, Wafaa Mohammed, Yaroslav Pylyavskyy and Ahmed Kheiri (2019) Local search heuristic for the optimisation of flight connections. In 2019 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pages 1-4. [preprint PDF][DOI][datasets]
[c18] Ahmed Kheiri and Konstantinos Zografos (2019) Modelling and solving the combined inventory routing problem with risk consideration. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO '19, pages 57-58, New York, NY, USA. ACM. [preprint PDF][DOI]
2018
[j9] Dennis Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo Lopez Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Ozcan, Sergio Ivvan Valdez Pena, Brian Goldman, Salvador Botello Rionda, Arturo Hernandez-Aguirre, Kalyan Veeramachaneni and Sylvain Cussat-Blanc (2018) Evolutionary computation for wind farm layout optimization. Renewable Energy, 126:681-691. [preprint PDF][DOI][source code]
[c17] Eltayeb K. E. Ahmed, Amr M. A. Khalifa and Ahmed Kheiri (2018) Evolutionary computation for static traffic light cycle optimisation. In 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pages 1-6. [preprint PDF][DOI]
[c16] Hiba Abdulaziz, Areeg Elnahas, Alaa Daffalla, Yossra Noureldien, Ahmed Kheiri and Ender Ozcan (2018) Late acceptance selection hyper-heuristic for wind farm layout optimisation problem. In 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pages 1-5. [preprint PDF][DOI][source code]
[c15] Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo Lopez Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Ozcan, Sergio Ivvan Valdez Pea, Brian Goldman, Salvador Botello Rionda, Arturo Hernandez-Aguirre, Kalyan Veeramachaneni and Sylvain Cussat-Blanc (2018) Summary of evolutionary computation for wind farm layout optimization. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO '18, pages 31-32, New York, NY, USA, ACM. [preprint PDF][DOI]
2017
[j8] Ahmed Kheiri and Ed Keedwell (2017) A hidden Markov model approach to the problem of heuristic selection in hyper-heuristics with a case study in high school timetabling problems. Evolutionary Computation, 25(3):473-501. [PDF][DOI]
[c14] Ahmed Kheiri, Alaa Daffalla, Yossra Noureldien and Ender Ozcan (2017) Selection hyper-heuristics for solving the wind farm layout optimisation problem. In Proceedings of the 8th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA2017), Kuala Lumpur, Malaysia, pages 393-395. [preprint PDF]
2016
[j7] Shahriar Asta, Daniel Karapetyan, Ahmed Kheiri, Ender Ozcan and Andrew J. Parkes (2016) Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem. Information Sciences, 373:476-498. [preprint PDF][DOI]
[j6] Ahmed Kheiri, Ender Ozcan and Andrew J. Parkes (2016) A stochastic local search algorithm with adaptive acceptance for high-school timetabling. Annals of Operations Research, 239(1):135-151. [preprint PDF][DOI]
[j5] Ahmed Kheiri and Ender Ozcan (2016) An iterated multi-stage selection hyper-heuristic. European Journal of Operational Research, 250(1):77-90. [preprint PDF][DOI]
[c13] Alhanof Almutairi, Ender Ozcan, Ahmed Kheiri and Warren G. Jackson (2016) Performance of selection hyper-heuristics on the extended HyFlex domains. In Tadeusz Czachorski, Erol Gelenbe, Krzysztof Grochla, and Ricardo Lent, editors, Computer and Information Sciences, volume 659 of Communications in Computer and Information Science, pages 154-162. Springer International Publishing. [preprint PDF][DOI]
[c12] Ahmed Kheiri, Mustafa Misir and Ender Ozcan (2016) Ensemble move acceptance in selection hyper-heuristics. In Tadeusz Czachórski, Erol Gelenbe, Krzysztof Grochla, and Ricardo Lent, editors, Computer and Information Sciences, volume 659 of Communications in Computer and Information Science, pages 21-29. Springer International Publishing. [preprint PDF][DOI]
[c11] Ahmed Kheiri, Ender Ozcan, Rhyd Lewis and Jonathan Thompson (2016) A sequence-based selection hyper-heuristic: A case study in nurse rostering. In Proceedings of the 11th International Conference on the Practice and Theory of Automated Timetabling (PATAT '16), Udine, Italy, pages 503-505. [preprint PDF]
2015
[c10] Ahmed Kheiri and Ed Keedwell (2015) A sequence-based selection hyper-heuristic utilising a hidden Markov model. In Proceedings of the 2015 on Genetic and Evolutionary Computation Conference, GECCO '15, pages 417-424, New York, NY, USA. ACM. [preprint PDF][DOI][best paper nominee]
[j4] Leena N. Ahmed, Ender Ozcan and Ahmed Kheiri (2015) Solving high school timetabling problems worldwide using selection hyper-heuristics. Expert Systems with Applications, 42(13):5463-5471. [preprint PDF][DOI]
[j3] Ahmed Kheiri, Edward Keedwell, Michael J. Gibson and Dragan Savic (2015) Sequence analysis-based hyper-heuristics for water distribution network optimisation. Procedia Engineering, 119:1269-1277. Computing and Control for the Water Industry (CCWI2015) Sharing the best practice in water management. [preprint PDF][DOI]
[c9] Ahmed Kheiri and Ed Keedwell (2015) Markov chain selection hyper-heuristic for the optimisation of constrained magic squares. 15th UK Workshop on Computational Intelligence (UKCI). [preprint PDF]
2014
[j2] Ahmed Kheiri and Ender Ozcan (2014) Constructing constrained-version of magic squares using selection hyper-heuristics. The Computer Journal, 57(3):469-479. [preprint PDF][DOI]
2013
[j1] Murat Kalender, Ahmed Kheiri, Ender Ozcan and Edmund K. Burke (2013) A greedy gradient-simulated annealing selection hyper-heuristic. Soft Computing, 17(12):2279-2292. Springer Berlin Heidelberg. [preprint PDF][DOI]
[c8] Ahmed Kheiri and Ender Ozcan (2013) A hyper-heuristic with a round robin neighbourhood selection. In Martin Middendorf, and Christian Blum, editors, Evolutionary Computation in Combinatorial Optimization, volume 7832 of Lecture Notes in Computer Science, pages 1-12. Springer Berlin Heidelberg. [preprint PDF][DOI]
[c7] Ender Ozcan, Mustafa Misir and Ahmed Kheiri (2013) Group decision making hyper-heuristics for function optimisation. In 13th UK Workshop on Computational Intelligence (UKCI), pages 327-333. IEEE. [preprint PDF][DOI]
[c6] Moh'D Khaled Shambour, Ahamad Tajudin Khader, Ahmed Kheiri and Ender Ozcan (2013) A two stage approach for high school timetabling. In Minho Lee, Akira Hirose, Zeng-Guang Hou, and Rhee Man Kil, editors, Neural Information Processing, volume 8226 of Lecture Notes in Computer Science, pages 66-73. Springer Berlin Heidelberg. [preprint PDF][DOI]
[c5] Shahriar Asta, Daniel Karapetyan, Ahmed Kheiri, Ender Ozcan and Andrew J. Parkes (2013) Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem. In Proceedings of the 6th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA2013), Ghent, Belgium, pages 836-839. [preprint PDF]
2012
[c4] Ender Ozcan and Ahmed Kheiri (2012) A hyper-heuristic based on random gradient, greedy and dominance. In Erol Gelenbe, Ricardo Lent, and Georgia Sakellari, editors, Computer and Information Sciences II, pages 557-563. Springer London. [preprint PDF][DOI]
[c3] Murat Kalender, Ahmed Kheiri, Ender Ozcan and Edmund K. Burke (2012) A greedy gradient-simulated annealing hyper-heuristic for a curriculum-based course timetabling problem. In 12th UK Workshop on Computational Intelligence (UKCI), pages 1-8. IEEE. [preprint PDF][DOI]
[c2] Ahmed Kheiri, Ender Ozcan and Andrew J. Parkes (2012) HySST: hyper-heuristic search strategies and timetabling. In Proceedings of the 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT '12), Son, Norway, pages 497-499. [preprint PDF]
2011
[c1] Gouping Qiu and Ahmed Kheiri (2011) Social Image Quality. In Proceedings of SPIE Conference on Image Quality and System Performance VIII, SPIE 7867, San Francisco, USA. [preprint PDF][DOI]
Dissertations
Ahmed Kheiri (PhD., 2014) Multi-stage Hyper-heuristics for Optimisation Problems. School of Computer Science, University of Nottingham. [nominated for the EURO Doctoral Dissertation Award (EDDA)][PDF][URL]
Ahmed Kheiri (MSc., 2010) Social Image Quality Metric. School of Computer Science, University of Nottingham. [won the best dissertation prize]
