Akgün, Ö, Dang, N, Miguel, I, Salamon, AZ, Spracklen, P & Stone, C 2020, Discriminating instance generation from abstract specifications: a case study with CP and MIP. in E Hebrard & N Musliu (eds), Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 17th International Conference, CPAIOR 2020, Vienna, Austria, September 21–24, 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12296 LNCS, Springer, Cham, pp. 41-51, 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2020, Vienna, Online, Austria, 21/09/20. https://doi.org/10.1007/978-3-030-58942-4_3

Attieh, S, Dang, N, Jefferson, C, Miguel, I & Nightingale, P 2019, Athanor: high-level local search over abstract constraint specifications in Essence. in S Kraus (ed.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19). International Joint Conferences on Artificial Intelligence, pp. 1056-1063, Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China, 10/08/19. https://doi.org/10.24963/ijcai.2019/148

Spracklen, P, Dang, N, Akgun, O & Miguel, IJ 2019, Automatic streamlining for constrained optimisation. in T Schiex & S de Givry (eds), Principles and Practice of Constraint Programming: 25th International Conference, CP 2019, Stamford, CT, USA, September 30 – October 4, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11802 LNCS, Springer, Cham, pp. 366-383, 25th International Conference on Principles and Practice of Constraint Programming (CP 2019), Stamford, United States, 30/09/19. https://doi.org/10.1007/978-3-030-30048-7_22

Dang, N & Doerr, C 2019, Hyper-parameter tuning for the (1+ (λ, λ)) GA. in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19). ACM, New York, pp. 889-897, The Genetic and Evolutionary Computation Conference (GECCO 2019 @ Prague), Prague, Czech Republic, 13/07/19. https://doi.org/10.1145/3321707.3321725

Akgun, O, Dang, N, Miguel, IJ, Salamon, AZ & Stone, CL 2019, Instance generation via generator instances. in T Schiex & S de Givry (eds), Principles and Practice of Constraint Programming: 25th International Conference, CP 2019, Stamford, CT, USA, September 30 – October 4, 2019, Proceedings. Lecture Notes in Computer Science (Programming and Software Engineering), vol. 11802, Springer, Cham, pp. 3-19, 25th International Conference on Principles and Practice of Constraint Programming (CP 2019), Stamford, United States, 30/09/19. https://doi.org/10.1007/978-3-030-30048-7_1

Dang, N & De Causmaecker, P 2018, Analysis of algorithm components and parameters: some case studies. in R Battiti, M Brunato, I Kotsireas & PM Pardalos (eds), Learning and Intelligent Optimization : 12th International Conference, LION 12, Kalamata, Greece, June 10–15, 2018, Revised Selected Papers. Lecture Notes in Computer Science (Theoretical Computer Science and General Issues), vol. 11353, Springer, Cham, pp. 288-303, Learning and Intelligent Optimization Conference (LION 12), Kalamata, Greece, 10/06/18. https://doi.org/10.1007/978-3-030-05348-2_25

Dang, N, Pérez Cáceres, L, De Causmaecker, P & Stützle, T 2017, Configuring irace using surrogate configuration benchmarks. in GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, New York, pp. 243-250, The Genetic and Evolutionary Computation Conference 2017, Berlin, Germany, 15/07/17. https://doi.org/10.1145/3071178.3071238