Duc-Cuong Dang

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Per Kristian LehreProfessor at University of Birmingham and UKRI Turing AI Acceleration FellowAdresse e-mail validée de cs.bham.ac.uk
Aziz MoukrimUniversité de Technologie de Compiègne, Heudiasyc UMR CNRS 7253Adresse e-mail validée de utc.fr
Dirk SudholtUniversity of Passau, GermanyAdresse e-mail validée de uni-passau.de
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyAdresse e-mail validée de hpi.de
Anton EremeevOmsk Branch of Sobolev Institute of MathematicsAdresse e-mail validée de ofim.oscsbras.ru
Andrew M. SuttonUniversity of Minnesota DuluthAdresse e-mail validée de umn.edu
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of SheffieldAdresse e-mail validée de sheffield.ac.uk
Martin S. KrejcaLIX, CNRS, Ecole Polytechnique, IPPAdresse e-mail validée de polytechnique.edu
Dogan CorusKadir Has UniversityAdresse e-mail validée de khas.edu.tr
Sohaib AfifiUniversité d'ArtoisAdresse e-mail validée de univ-artois.fr
Tiago PaixaoInstituto Gulbenkian de CiênciaAdresse e-mail validée de igc.gulbenkian.pt
Thomas JansenAberystwyth UniversityAdresse e-mail validée de aber.ac.uk
Barbora TrubenováETH ZurichAdresse e-mail validée de env.ethz.ch
Golnaz BadkobehCity, University of LondonAdresse e-mail validée de city.ac.uk
Bhakti Stephan OnggoProfessor of Business Analytics, University of SouthamptonAdresse e-mail validée de soton.ac.uk
Christine CurrieProfessor of Operational Research, University of SouthamptonAdresse e-mail validée de soton.ac.uk

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Duc-Cuong Dang

University of Southampton, UK

Adresse e-mail validée de soton.ac.uk - Page d'accueil

Evolutionary Computation Operations Research Combinatorial Optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
An effective PSO-inspired algorithm for the team orienteering problem DC Dang, RN Guibadj, A Moukrim European Journal of Operational Research 229 (2), 332-344, 2013	148	2013
Escaping local optima using crossover with emergent diversity DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... IEEE Transactions on Evolutionary Computation 22 (3), 484-497, 2017	132	2017
Level-based analysis of genetic algorithms and other search processes D Corus, DC Dang, AV Eremeev, PK Lehre IEEE Transactions on Evolutionary Computation 22 (5), 707-719, 2017	124	2017
Heuristic solutions for the vehicle routing problem with time windows and synchronized visits S Afifi, DC Dang, A Moukrim Optimization Letters 10, 511-525, 2016	100	2016
A memetic algorithm for the team orienteering problem H Bouly, DC Dang, A Moukrim 4or 8, 49-70, 2010	96	2010
Self-adaptation of mutation rates in non-elitist populations DC Dang, PK Lehre Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016	85	2016
A simulated annealing algorithm for the vehicle routing problem with time windows and synchronization constraints S Afifi, DC Dang, A Moukrim Learning and Intelligent Optimization: 7th International Conference, LION 7 …, 2013	72	2013
Escaping local optima with diversity mechanisms and crossover DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... Proceedings of the Genetic and Evolutionary Computation Conference 2016, 645-652, 2016	69	2016
Solving the team orienteering problem with cutting planes R El-Hajj, DC Dang, A Moukrim Computers & Operations Research 74, 21-30, 2016	65	2016
Runtime analysis of non-elitist populations: from classical optimisation to partial information DC Dang, PK Lehre Algorithmica 75, 428-461, 2016	64	2016
A branch-and-cut algorithm for solving the team orienteering problem DC Dang, R El-Hajj, A Moukrim Integration of AI and OR Techniques in Constraint Programming for …, 2013	61	2013
Efficient optimisation of noisy fitness functions with population-based evolutionary algorithms DC Dang, PK Lehre Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015	52	2015
A pso-based memetic algorithm for the team orienteering problem DC Dang, RN Guibadj, A Moukrim Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMNET …, 2011	49	2011
Level-based analysis of genetic algorithms and other search processes D Corus, DC Dang, AV Eremeev, PK Lehre International Conference on Parallel Problem Solving from Nature, 912-921, 2014	46	2014
Simplified runtime analysis of estimation of distribution algorithms DC Dang, PK Lehre Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015	39	2015
Level-based analysis of the univariate marginal distribution algorithm DC Dang, PK Lehre, PTH Nguyen Algorithmica 81, 668-702, 2019	35	2019
Escaping local optima with non-elitist evolutionary algorithms DC Dang, A Eremeev, PK Lehre Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12275 …, 2021	34	2021
Populations can be essential in tracking dynamic optima DC Dang, T Jansen, PK Lehre Algorithmica 78, 660-680, 2017	32	2017
Toward a unifying framework for evolutionary processes T Paixão, G Badkobeh, N Barton, D Çörüş, DC Dang, T Friedrich, ... Journal of Theoretical Biology 383, 28-43, 2015	32	2015
Emergence of diversity and its benefits for crossover in genetic algorithms DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... International Conference on Parallel Problem Solving from Nature, 890-900, 2016	26	2016

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