Общедоступные статьи - Nguyen DangПодробнее...
1 статья недоступна нигде
A Metaheuristic Approach to Compute Pure Nash Equilibria
N Elgers, N Dang, P De Causmaecker
Bioinspired Heuristics for Optimization, 221-233, 2019
Финансирование: Belgian Science Policy Office
15 статей доступны в некоторых источниках
Hyper-parameter tuning for the (1 + (λ, λ)) GA
N Dang, C Doerr
Proceedings of the Genetic and Evolutionary Computation Conference, 889-897, 2019
Финансирование: UK Engineering and Physical Sciences Research Council, European Commission …
Configuring irace using surrogate configuration benchmarks
N Dang, LP Cáceres, P De Causmaecker, T Stützle
Proceedings of the Genetic and Evolutionary Computation Conference, 243-250, 2017
Финансирование: National Fund for Scientific Research, Belgium, Research Foundation (Flanders)
Automatic detection of at-most-one and exactly-one relations for improved SAT encodings of pseudo-boolean constraints
C Ansótegui, M Bofill, J Coll, N Dang, JL Esteban, I Miguel, P Nightingale, ...
International Conference on Principles and Practice of Constraint …, 2019
Финансирование: UK Engineering and Physical Sciences Research Council, Government of Spain
Instance generation via generator instances
Ö Akgün, N Dang, I Miguel, AZ Salamon, C Stone
International Conference on Principles and Practice of Constraint …, 2019
Финансирование: UK Engineering and Physical Sciences Research Council
Discriminating Instance Generation from Abstract Specifications: A Case Study with CP and MIP
Ö Akgün, N Dang, I Miguel, AZ Salamon, P Spracklen, C Stone
International Conference on Integration of Constraint Programming …, 2020
Финансирование: UK Engineering and Physical Sciences Research Council
Theory-inspired parameter control benchmarks for dynamic algorithm configuration
A Biedenkapp, N Dang, MS Krejca, F Hutter, C Doerr
Proceedings of the Genetic and Evolutionary Computation Conference, 766-775, 2022
Финансирование: European Commission
Athanor: high-level local search over abstract constraint specifications in Essence
S Attieh, N Dang, C Jefferson, I Miguel, P Nightingale
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
Финансирование: UK Engineering and Physical Sciences Research Council, Royal Society UK
A combined approach for analysing heuristic algorithms
J Corstjens, N Dang, B Depaire, A Caris, P De Causmaecker
Journal of Heuristics 25 (4), 591-628, 2019
Финансирование: Research Foundation (Flanders), Belgian Science Policy Office
Automated streamliner portfolios for constraint satisfaction problems
P Spracklen, N Dang, Ö Akgün, I Miguel
Artificial Intelligence 319, 103915, 2023
Финансирование: UK Engineering and Physical Sciences Research Council
Using automated algorithm configuration for parameter control
D Chen, M Buzdalov, C Doerr, N Dang
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic …, 2023
Финансирование: UK Engineering and Physical Sciences Research Council, Agence Nationale de …
Automatic Streamlining for Constrained Optimisation
P Spracklen, N Dang, Ö Akgün, I Miguel
International Conference on Principles and Practice of Constraint …, 2019
Финансирование: UK Engineering and Physical Sciences Research Council
Analysis of Algorithm Components and Parameters: Some Case Studies
N Dang, P De Causmaecker
International Conference on Learning and Intelligent Optimization, 288-303, 2018
Финансирование: Research Foundation (Flanders), Belgian Science Policy Office
Motivations for the Development of a Multi-objective Algorithm Configurator
NTT Dang, P De Causmaecker
Proceedings of the 3rd International Conference on Operations Research and …, 2014
Финансирование: Research Foundation (Flanders)
Athanor: Local Search over Abstract Constraint Specifications
S Attieh, N Dang, C Jefferson, I Miguel, P Nightingale
Artificial Intelligence, 104277, 2024
Финансирование: UK Engineering and Physical Sciences Research Council
Constraint Models for Relaxed Klondike Variants
N Dang, IP Gent, P Nightingale, F Ulrich-Oltean, J Waller
Финансирование: UK Engineering and Physical Sciences Research Council
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