Publications

2026

Frugal Algorithm Selection for Combinatorial Search doi

Erdem Kuş, Özgür Akgün, Nguyen Dang, Ian Miguel, and Lars Kotthoff

Journal of Artificial Intelligence Research, vol. 86

Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+(λ,λ))-GA doi

Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, and Nguyen Dang

ACM Transactions on Evolutionary Learning and Optimization

Towards Automated Generation of Benchmark Instances with Diverse Solver Performance pdf

Tianchen Wu, Ian Miguel, and Nguyen Dang

The 25th workshop on Constraint Modelling and Reformulation (ModRef)

Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning arXiv

Tai Nguyen, Phong Le, Carola Doerr, and Nguyen Dang

arXiv preprint arXiv:2606.10129

On the Effect of Training Data Selection in Automated Algorithm Selection doi

Erdem Kuş, Özgür Akgün, Nguyen Dang, Lars Kotthoff, and Ian Miguel

The 32nd International Conference on Principles and Practice of Constraint Programming (CP 2026)

Towards Generating Discriminating Instances for Multi-Agent Pathfinding: A Case Study with Shelf-Based Warehouse Scenarios pdf

Tianchen Wu, Roman Barták, Jiří Švancara, Ian Miguel, and Nguyen Dang

UK Planning and Scheduling Special Interest Group (UK PlanSIG 2026)

2025

Constraint Models for Klondike

Nguyen Dang, Ian P. Gent, Peter Nightingale, Felix Ulrich-Oltean, and Jack Waller

The 31st International Conference on Principles and Practice of Constraint Programming (CP 2025)

Transformer-Based Feature Learning for Algorithm Selection in Combinatorial Optimisation

Alessio Pellegrino, Özgür Akgün, Nguyen Dang, Zeynep Kiziltan, and Ian Miguel

The 31st International Conference on Principles and Practice of Constraint Programming (CP 2025)

On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA arXiv doi

🏆 Best paper award (L4EC track)

Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, and Nguyen Dang

The Genetic and Evolutionary Computation Conference (GECCO 2025)

Multi-parameter Control for the (1+(λ,λ))-GA on OneMax via Deep Reinforcement Learning arXiv

Tai Nguyen, Phong Le, Carola Doerr, and Nguyen Dang

The 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVIII)

Athanor: Local search over abstract constraint specifications doi

Saad Attieh, Nguyen Dang, Chris Jefferson, Ian Miguel, and Peter Nightingale

Artificial Intelligence Journal

2024

Automatic Feature Learning for Essence: a Case Study on Car Sequencing

Alessio Pellegrino, Özgür Akgün, Nguyen Dang, Zeynep Kiziltan, and Ian Miguel

The 23rd workshop on Constraint Modelling and Reformulation (ModRef)

Frugal Algorithm Selection

Erdem Kuş, Özgür Akgün, Nguyen Dang, and Ian Miguel

The 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)

Constraint models for relaxed Klondike variants

Nguyen Dang, Ian Gent, Peter Nightingale, Felix Ulrich-Oltean, and Jack Waller

The 23rd workshop on Constraint Modelling and Reformulation (ModRef)

2023

Automated streamliner portfolios for constraint satisfaction problems

Patrick Spracklen, Nguyen Dang, Özgür Akgün, and Ian Miguel

Artificial Intelligence Journal

Using Automated Algorithm Configuration for Parameter Control arXiv doi

⭐ Nominated for best paper award, FOGA 2023

Deyao Chen, Maxim Buzdalov, Carola Doerr, and Nguyen Dang

The 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVII)

2022

A Framework for Generating Informative Benchmark Instances

Nguyen Dang, Özgür Akgün, Joan Espasa, Ian Miguel, and Peter Nightingale

The 28th International Conference on Principles and Practice of Constraint Programming (CP 2022)

Theory‑inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

🏆 Best paper award (GECH track)

André Biedenkapp*, Nguyen Dang*, Martin S. Krejca*, Frank Hutter, and Carola Doerr (*shared first authorship)

The Genetic and Evolutionary Computation Conference (GECCO 2022)

A portfolio-based analysis method for competition results arXiv

Nguyen Dang

The 21st workshop on Constraint Modelling and Reformulation (ModRef)

2020

Discriminating Instance Generation from Abstract Specifications: A Case Study with CP and MIP pdf

Özgür Akgün, Nguyen Dang, Ian Miguel, András Z. Salamon, Patrick Spracklen, and Christopher Stone

CPAIOR’2020

Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem pdf

Patrick Spracklen, Nguyen Dang, Özgür Akgün, and Ian Miguel

The 20th workshop on Constraint Modelling and Reformulation (ModRef)

Exploring Instance Generation for Automated Planning pdf

Özgür Akgün, Nguyen Dang, Joan Espasa, Ian Miguel, András Z. Salamon, and Christopher Stone

The 20th workshop on Constraint Modelling and Reformulation (ModRef)

Efficient Incremental Modelling and Solving pdf

Gökberk Koçak, Özgür Akgün, Nguyen Dang, and Ian Miguel

The 20th workshop on Constraint Modelling and Reformulation (ModRef)

2019

The Second International Nurse Rostering Competition

Sara Ceschia, Nguyen Dang, Patrick De Causmaecker, Stefaan Haspeslagh, and Andrea Schaerf

Annals of Operations Research

A Combined Approach for Analysing Heuristic Algorithms

Jeroen Corstjens, Nguyen Dang, Benoît Depaire, An Caris, and Patrick De Causmaecker

Journal of Heuristics

Instance Generation via Generator Instances

Özgür Akgün, Nguyen Dang, Ian Miguel, András Z. Salamon, and Christopher Stone

The 25th International Conference on Principles and Practice of Constraint Programming (CP 2019)

Automatic detection of at-most-one and exactly-one relations for improved SAT encodings of pseudo-boolean constraints

Carlos Ansótegui, Miquel Bofill, Jordi Coll, Nguyen Dang, Juan Luis Esteban, Ian Miguel, Peter Nightingale, András Z. Salamon, Josep Suy, and Mateu Villaret

The 25th International Conference on Principles and Practice of Constraint Programming (CP 2019)

Automatic Streamlining for Constrained Optimisation

Patrick Spracklen, Nguyen Dang, Özgür Akgün, and Ian Miguel

The 25th International Conference on Principles and Practice of Constraint Programming (CP 2019)

Hyper‑parameter tuning for the (1 + (λ, λ)) GA

Nguyen Dang and Carola Doerr

The Genetic and Evolutionary Computation Conference (GECCO 2019)

Athanor: High‑Level Local Search Over Abstract Constraint Specifications in Essence

Saad Attieh, Nguyen Dang, Christopher Jefferson, Ian Miguel, and Peter Nightingale

The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

2018

Analysis of Algorithm Components and Parameters: Some Case Studies

Nguyen Dang and Patrick De Causmaecker

The 12th International Conference on Learning and Intelligent Optimization (LION 2018)

2017

Configuring irace using surrogate configuration benchmarks doi

🏆 Best paper award (ECOM track)

Nguyen Dang, Leslie Pérez Cáceres, Patrick De Causmaecker, and Thomas Stützle

The Genetic and Evolutionary Computation Conference (GECCO 2017)

2016

Solving the multi-stage nurse rostering problem

Nguyen Dang, Sara Ceschia, Andrea Schaerf, Patrick De Causmaecker, and Stefaan Haspeslagh

The 11th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2016)

Characterization of Neighborhood Behaviours in a Multi‑neighborhood Local Search Algorithm

Nguyen Dang and Patrick De Causmaecker

The 10th International Conference on Learning and Intelligent Optimization (LION 2016)

A Metaheuristic Approach to computing (approximate) Pure Nash Equilibria

Niels Elgers, Nguyen Dang, and Patrick De Causmaecker

META’2016

2011

A multi-stage local search for a real-world vehicle routing problem

Nguyen Dang and Tien Dinh

IEEE ICNC’2011

An Approximation Approach for a Real–World Variant of Vehicle Routing Problem

Khoa Trinh, Nguyen Dang, and Tien Dinh

New Challenges for Intelligent Information and Database Systems