Subgraph Extraction and Memetic Algorithm for the Maximum Clique Problem. - Duc-Cuong Dang; Aziz Moukrim (IJCCI (ICEC), 2010)

A memetic algorithm for the team orienteering problem. - Hermann Bouly; Duc-Cuong Dang; Aziz Moukrim (4OR, 2010)

A PSO-Based Memetic Algorithm for the Team Orienteering Problem. - Duc-Cuong Dang; Rym Nesrine Guibadj; Aziz Moukrim (EvoApplications (2), 2011)

Subgraph extraction and metaheuristics for the maximum clique problem. - Duc-Cuong Dang; Aziz Moukrim (J. Heuristics, 2012)

A Branch-and-Cut Algorithm for Solving the Team Orienteering Problem. - Duc-Cuong Dang; Racha El-Hajj; Aziz Moukrim (CPAIOR, 2013)

A Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows and Synchronization Constraints. - Sohaib Afifi; Duc-Cuong Dang; Aziz Moukrim (LION, 2013)

An effective PSO-inspired algorithm for the team orienteering problem. - Duc-Cuong Dang; Rym Nesrine Guibadj; Aziz Moukrim (Eur. J. Oper. Res., 2013)

Evolution under partial information. - Duc-Cuong Dang; Per Kristian Lehre (GECCO, 2014)

Refined upper bounds on the expected runtime of non-elitist populations from fitness-levels. - Duc-Cuong Dang; Per Kristian Lehre (GECCO, 2014)

Efficient Optimisation of Noisy Fitness Functions with Population-based Evolutionary Algorithms. - Duc-Cuong Dang; Per Kristian Lehre (FOGA, 2015)

Populations can be Essential in Dynamic Optimisation. - Duc-Cuong Dang; Thomas Jansen 001; Per Kristian Lehre (GECCO, 2015)

Simplified Runtime Analysis of Estimation of Distribution Algorithms. - Duc-Cuong Dang; Per Kristian Lehre (GECCO, 2015)

Level-Based Analysis of Genetic Algorithms for Combinatorial Optimization. - Duc-Cuong Dang; Anton V. Eremeev; Per Kristian Lehre (CoRR, 2015)

Escaping Local Optima with Diversity Mechanisms and Crossover. - Duc-Cuong Dang; Tobias Friedrich 001; Timo Kötzing; Martin S. Krejca; Per Kristian Lehre; Pietro S. Oliveto; Dirk Sudholt; Andrew M. Sutton (GECCO, 2016)

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. - Duc-Cuong Dang; Tobias Friedrich 001; Timo Kötzing; Martin S. Krejca; Per Kristian Lehre; Pietro S. Oliveto; Dirk Sudholt; Andrew M. Sutton (PPSN, 2016)

Self-adaptation of Mutation Rates in Non-elitist Populations. - Duc-Cuong Dang; Per Kristian Lehre (PPSN, 2016)

Runtime Analysis of Non-elitist Populations: From Classical Optimisation to Partial Information. - Duc-Cuong Dang; Per Kristian Lehre (Algorithmica, 2016)

Solving the team orienteering problem with cutting planes. - Racha El-Hajj; Duc-Cuong Dang; Aziz Moukrim (Comput. Oper. Res., 2016)

Escaping Local Optima using Crossover with Emergent or Reinforced Diversity. - Duc-Cuong Dang; Tobias Friedrich 001; Timo Kötzing; Martin S. Krejca; Per Kristian Lehre; Pietro S. Oliveto; Dirk Sudholt; Andrew M. Sutton (CoRR, 2016)

Heuristic solutions for the vehicle routing problem with time windows and synchronized visits. - Sohaib Afifi; Duc-Cuong Dang; Aziz Moukrim (Optim. Lett., 2016)

Populations Can Be Essential in Tracking Dynamic Optima. - Duc-Cuong Dang; Thomas Jansen 001; Per Kristian Lehre (Algorithmica, 2017)

Level-Based Analysis of Genetic Algorithms and Other Search Processes. - Dogan Corus; Duc-Cuong Dang; Anton V. Eremeev; Per Kristian Lehre (IEEE Trans. Evol. Comput., 2018)

Escaping Local Optima Using Crossover With Emergent Diversity. - Duc-Cuong Dang; Tobias Friedrich 001; Timo Kötzing; Martin S. Krejca; Per Kristian Lehre; Pietro S. Oliveto; Dirk Sudholt; Andrew M. Sutton (IEEE Trans. Evol. Comput., 2018)

Level-Based Analysis of the Univariate Marginal Distribution Algorithm. - Duc-Cuong Dang; Per Kristian Lehre; Phan Trung Hai Nguyen (Algorithmica, 2019)

Runtime Analysis of Fitness-Proportionate Selection on Linear Functions. - Duc-Cuong Dang; Anton V. Eremeev; Per Kristian Lehre (CoRR, 2019)

Escaping Local Optima with Non-Elitist Evolutionary Algorithms. - Duc-Cuong Dang; Anton V. Eremeev; Per Kristian Lehre (AAAI, 2021)

Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys. - Duc-Cuong Dang; Anton V. Eremeev; Per Kristian Lehre (GECCO, 2021)

Fast non-elitist evolutionary algorithms with power-law ranking selection. - Duc-Cuong Dang; Anton V. Eremeev; Per Kristian Lehre; Xiaoyu Qin (GECCO, 2022)

Evolutionary Algorithms for Cardinality-Constrained Ising Models. - Vijay Dhanjibhai Bhuva; Duc-Cuong Dang; Liam Huber; Dirk Sudholt (PPSN (2), 2022)

A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. - Duc-Cuong Dang; Andre Opris; Bahare Salehi; Dirk Sudholt (AAAI, 2023)

Analysing the Robustness of NSGA-II under Noise. - Duc-Cuong Dang; Andre Opris; Bahare Salehi; Dirk Sudholt (GECCO, 2023)

Budget allocation of food procurement for natural disaster response. - Duc-Cuong Dang; Christine S. M. Currie; Bhakti Stephan Onggo; Diah Chaerani; Audi Luqmanul Hakim Achmad (Eur. J. Oper. Res., 2023)

The SLO Hierarchy of pseudo-Boolean Functions and Runtime of Evolutionary Algorithms. - Duc-Cuong Dang; Per Kristian Lehre (GECCO, 2024)

Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis. - Duc-Cuong Dang; Andre Opris; Dirk Sudholt (GECCO, 2024)

Runtime Analyses of NSGA-III on Many-Objective Problems. - Andre Opris; Duc-Cuong Dang; Frank Neumann 001; Dirk Sudholt (GECCO, 2024)

Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. - Andre Opris; Duc-Cuong Dang; Dirk Sudholt (GECCO Companion, 2024)

Empirical Evaluation of Evolutionary Algorithms with Power-Law Ranking Selection. - Duc-Cuong Dang; Anton V. Eremeev; Xiaoyu Qin (IIP (1), 2024)

On the Equivalence Between Stochastic Tournament and Power-Law Ranking Selection and How to Implement Them Efficiently. - Duc-Cuong Dang; Andre Opris; Dirk Sudholt (PPSN (3), 2024)

Level-Based Theorems for Runtime Analysis of Multi-objective Evolutionary Algorithms. - Duc-Cuong Dang; Andre Opris; Dirk Sudholt (PPSN (3), 2024)

Crossover can guarantee exponential speed-ups in evolutionary multi-objective optimisation. - Duc-Cuong Dang; Andre Opris; Dirk Sudholt (Artif. Intell., 2024)

Theoretical Analysis of Quality Diversity Algorithms for a Classical Path Planning Problem. - Duc-Cuong Dang; Aneta Neumann; Frank Neumann 001; Andre Opris; Dirk Sudholt (CoRR, 2024)

Why Dominance Is Not Enough: Lessons from Practical Evolutionary Multi-Objective Algorithms. - Duc-Cuong Dang; Andre Opris; Dirk Sudholt (GECCO, 2025)