Duc-Cuong Dang

According to our database, Duc-Cuong Dang authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Crossover can guarantee exponential speed-ups in evolutionary multi-objective optimisation.

Duc-Cuong Dang, Andre Opris, Dirk Sudholt

Artif. Intell., 2024

Level-Based Theorems for Runtime Analysis of Multi-objective Evolutionary Algorithms.

Duc-Cuong Dang, Andre Opris, Dirk Sudholt

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Empirical Evaluation of Evolutionary Algorithms with Power-Law Ranking Selection.

Duc-Cuong Dang, Anton V. Eremeev, Xiaoyu Qin

Proceedings of the Intelligent Information Processing XII, 2024

Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation.

Andre Opris, Duc-Cuong Dang, Dirk Sudholt

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Runtime Analyses of NSGA-III on Many-Objective Problems.

Andre Opris, Duc-Cuong Dang, Frank Neumann, Dirk Sudholt

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis.

Duc-Cuong Dang, Andre Opris, Dirk Sudholt

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

The SLO Hierarchy of pseudo-Boolean Functions and Runtime of Evolutionary Algorithms.

Duc-Cuong Dang, Per Kristian Lehre

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

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., December, 2023

Analysing the Robustness of NSGA-II under Noise.

Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation.

Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Evolutionary Algorithms for Cardinality-Constrained Ising Models.

Vijay Dhanjibhai Bhuva, Duc-Cuong Dang, Liam Huber, Dirk Sudholt

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Fast non-elitist evolutionary algorithms with power-law ranking selection.

Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre, Xiaoyu Qin

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Escaping Local Optima with Non-Elitist Evolutionary Algorithms.

Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Runtime Analysis of Fitness-Proportionate Selection on Linear Functions.

Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre

CoRR, 2019

Level-Based Analysis of the Univariate Marginal Distribution Algorithm.

Duc-Cuong Dang, Per Kristian Lehre, Phan Trung Hai Nguyen

Algorithmica, 2019

2018

Escaping Local Optima Using Crossover With Emergent Diversity.

Duc-Cuong Dang, Tobias Friedrich, 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 Genetic Algorithms and Other Search Processes.

Dogan Corus, Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre

IEEE Trans. Evol. Comput., 2018

2017

Populations Can Be Essential in Tracking Dynamic Optima.

Duc-Cuong Dang, Thomas Jansen, Per Kristian Lehre

Algorithmica, 2017

2016

Heuristic solutions for the vehicle routing problem with time windows and synchronized visits.

Sohaib Afifi, Duc-Cuong Dang, Aziz Moukrim

Optim. Lett., 2016

Escaping Local Optima using Crossover with Emergent or Reinforced Diversity.

Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton

CoRR, 2016

Solving the team orienteering problem with cutting planes.

Racha El-Hajj, Duc-Cuong Dang, Aziz Moukrim

Comput. Oper. Res., 2016

Runtime Analysis of Non-elitist Populations: From Classical Optimisation to Partial Information.

Duc-Cuong Dang, Per Kristian Lehre

Algorithmica, 2016

Self-adaptation of Mutation Rates in Non-elitist Populations.

Duc-Cuong Dang, Per Kristian Lehre

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms.

Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Escaping Local Optima with Diversity Mechanisms and Crossover.

Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Level-Based Analysis of Genetic Algorithms for Combinatorial Optimization.

Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre

CoRR, 2015

Simplified Runtime Analysis of Estimation of Distribution Algorithms.

Duc-Cuong Dang, Per Kristian Lehre

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Populations can be Essential in Dynamic Optimisation.

Duc-Cuong Dang, Thomas Jansen, Per Kristian Lehre

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Efficient Optimisation of Noisy Fitness Functions with Population-based Evolutionary Algorithms.

Duc-Cuong Dang, Per Kristian Lehre

Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

2014

Refined upper bounds on the expected runtime of non-elitist populations from fitness-levels.

Duc-Cuong Dang, Per Kristian Lehre

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Evolution under partial information.

Duc-Cuong Dang, Per Kristian Lehre

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

An effective PSO-inspired algorithm for the team orienteering problem.

Duc-Cuong Dang, Rym Nesrine Guibadj, Aziz Moukrim

Eur. J. Oper. Res., 2013

A Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows and Synchronization Constraints.

Sohaib Afifi, Duc-Cuong Dang, Aziz Moukrim

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

A Branch-and-Cut Algorithm for Solving the Team Orienteering Problem.

Duc-Cuong Dang, Racha El-Hajj, Aziz Moukrim

Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2013

2012

Subgraph extraction and metaheuristics for the maximum clique problem.

Duc-Cuong Dang, Aziz Moukrim

J. Heuristics, 2012

2011

A PSO-Based Memetic Algorithm for the Team Orienteering Problem.

Duc-Cuong Dang, Rym Nesrine Guibadj, Aziz Moukrim

Proceedings of the Applications of Evolutionary Computation, 2011

2010

A memetic algorithm for the team orienteering problem.

Hermann Bouly, Duc-Cuong Dang, Aziz Moukrim

4OR, 2010

Subgraph Extraction and Memetic Algorithm for the Maximum Clique Problem.

Duc-Cuong Dang, Aziz Moukrim

Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010