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Arthur Guijt, Ngoc Hoang Luong, Peter A.N. Bosman, Mathijs de Weerdt, "On the Impact of Linkage Learning, Gene-pool Optimal Mixing, and non-Redundant Encoding on Permutation Optimization", Swarm and Evolutionary Computation, 2022
Ngoc Hoang Luong, Tanja Alderliesten, Bradley R Pieters, Arjan Bel, Yury Niatsetski, Peter A.N. Bosman, "Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy", Applied Soft Computing, vol. 84, 2019
Stefanus C. Maree, Ngoc Hoang Luong, Ernst S. Kooreman, Niekvan Wieringen, Arjan Bel, Karel A.Hinnen, Henrike Westerveld, Bradley R. Pieters, Peter A.N. Bosman, Tanja Alderliesten, "Evaluation of bi-objective treatment planning for high-dose-rate prostate brachytherapy—A retrospective observer study", Brachytherapy, vol. 18(3), pp. 396-403, 2019
Ngoc Hoang Luong, Han La Poutré, and Peter A.N. Bosman, “Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme," Swarm and Evolutionary Computation, vol. 40, pp. 238-254, 2018.
Ngoc Hoang Luong, Tanja Alderliesten, Arjan Bel, Yury Niatsetski, and Peter A.N. Bosman, “Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment,” Swarm and Evolutionary Computation, vol. 40, pp. 37-52, 2018.
Ngoc Hoang Luong, Han La Poutré, and Peter A.N. Bosman, “Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning,” Evolutionary Computation, vol. 26, no. 3, pp. 471-505 , 2018, MIT Press.
Ngoc Hoang Luong, Hai Thi Thanh Nguyen, and Chang Wook Ahn, “Entropy-based efficiency enhancement techniques for evolutionary algorithms,” Information Sciences, vol. 188, pp. 100-120, 2012.
Ngoc Hoang Luong, Peter A.N. Bosman, Marinus O.W. Grond, and Han La Poutré. "Dynamic Distribution Network Expansion Planning with Demand Side Management," In K.Y. Lee and Z. Vale, editors, Application of Modern Heuristic Optimization Methods in Power and Energy Systems, Wiley-IEEE Press, April 2020.
Tu Do, Ngoc Hoang Luong, "Training-Free Multi-objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions," in Proceedings of the 28th International Conference on Neural Information Processing ICONIP 2021, Bali, Indonesia, pp. 335-347.
Quan Minh Phan, Ngoc Hoang Luong, "Enhancing Multi-objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches," in Proceedings of the 34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA/AIE 2021, Kuala Lumpur, Malaysia.
Tu Do, Ngoc Hoang Luong, "Insightful and Practical Multi-objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms," in Proceedings of the 34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA/AIE 2021, Kuala Lumpur, Malaysia.
Hieu Trung Nguyen, Ngoc Hoang Luong, "Applying Deep Reinforcement Learning in Automated Stock Trading," in Proceedings of the 2nd International Conference on Artificial Intelligence and Computational Intelligence AICI 2021, Hanoi, Vietnam.
Ngoc Hoang Luong, Tanja Alderliesten, Peter A.N. Bosman, "Improving the performance of MO-RV-GOMEA on problems with many objectives using Tchebycheff scalarizations," in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2018, Kyoto, Japan, pp. 705-712.
Gerben H Aalvanger, Ngoc Hoang Luong, Peter A.N. Bosman, Dirk Thierens, "Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem", in Parallel Problem Solving from Nature PPSN 2018, Coimbra, Portugal, 2018, pp. 146-157.
Ngoc Hoang Luong, Tanja Alderliesten, Arjan Bel, Yury Niatsetski, and Peter A.N. Bosman, “Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms,” in Proceedings Companion of the Genetic and Evolutionary Computation Conference GECCO 2017, Berlin, Germany, 2017, pp. 1372-1379.
Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, and Peter A. N. Bosman, “The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm,” in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2017, Berlin, Germany, 2017, pp. 537-544.
Krzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, and Peter A. N. Bosman, "Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm," in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2017, Berlin, Germany, 2017, pp. 1224-1231.
Peter A. N. Bosman, Ngoc Hoang Luong, Dirk Thierens, "Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms," in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2016, Denver, Colorado, USA, 2016, pp. 637-644. (Best Paper Nomination - Genetic Algorithm track)
Ngoc Hoang Luong, Marinus O.W. Grond, Han La Poutré, and Peter A.N. Bosman, “Scalable and practical multi-objective distribution network expansion planning,” in IEEE Power & Energy Society General Meeting PES-GM 2015, Denver, Colorado, USA.
Ngoc Hoang Luong, Han La Poutré, and Peter A.N. Bosman, “Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning,” in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2015, Madrid, Spain, 2015, pp. 1231-1238. (Best Paper Award - Real World Applications track)
Marinus O.W. Grond, Ngoc Hoang Luong, Johan Morren, Peter A.N. Bosman, Han Slootweg, and Han La Poutré, "Practice-oriented optimization of distribution network planning using metaheuristic algorithms", in Power Systems Computation Conference PSCC 2014, Wrocław, Poland, 2014.
Ngoc Hoang Luong, Han La Poutré, and Peter A.N. Bosman, “Multi-objective gene-pool optimal mixing evolutionary algorithms,” in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2014, Vancouver, Canada, 2014, pp. 357-364.
Ngoc Hoang Luong, Marinus O.W. Grond, Han La Poutré, and Peter A.N. Bosman, “Efficiency enhancements for evolutionary capacity planning in distribution grids,” in Proceedings Companion of the Genetic and Evolutionary Computation Conference GECCO 2014, Vancouver, Canada, 2014, pp. 1189-1196.
Ngoc Hoang Luong, Marinus O.W. Grond, Peter A.N. Bosman, and Han La Poutré, “Medium-Voltage Distribution Network Expansion Planning with Gene-pool Optimal Mixing Evolutionary Algorithms,” in Proceedings of the Biennial International Conference on Artificial Evolution EA 2013, Bordeaux, France, 2013, pp. 93-105.
Ngoc Hoang Luong and Peter A.N. Bosman, “Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt,” in Parallel Problem Solving from Nature PPSN 2012, Taormina, Italy, 2012, pp. 72-81.
Ngoc Hoang Luong, Hai Thi Thanh Nguyen, and Chang Wook Ahn, “Entropy-based substructural local search for the bayesian optimization algorithm,” in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2010, Portland, Oregon, 2010, pp. 335-342. (Best Paper Nomination - Estimation-of-Distribution Algorithms track)
Hai Thi Thanh Nguyen, Ngoc Hoang Luong, and Chang Wook Ahn, “Entropy measurement-based estimation model for bayesian optimization algorithm,” in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2010, Portland, Oregon, 2010, pp. 343-350.
Ngoc Hoang Luong, Hai Thi Thanh Nguyen, and Chang Wook Ahn, “Entropy-Based Evaluation Relaxation Strategy for Bayesian Optimization Algorithm,” in Proceedings of the International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2010, Cordoba, Spain, 2010, pp. 126-135.
Ngoc Hoang Luong, Tanja Alderliesten, Bradley R. Pieters, Arjan Bel, Yury Niatsetski, Peter A.N. Bosman. "Fast and insightful bi-objective HDR prostate brachytherapy planning," in ESTRO 37 - The European Society for Radiotherapy & Oncology Congress, Barcelona, Spain, April 20-24, 2018.
Stef C. Maree, E.S. Kooreman, Ngoc Hoang Luong , N. van Wieringen , A. Bel , E.C.M. Rodenburg, K.A. Hinnen, G.H. Westerveld, B.R. Pieters, P.A.N. Bosman, T. Alderliesten. "Better plans and easy plan selection via bi-objective optimization for HDR prostate brachytherapy," in ESTRO 37 - The European Society for Radiotherapy & Oncology Congress, Barcelona, Spain, April 20-24, 2018.
Ngoc Hoang Luong, Han La Poutré, and Peter A.N. Bosman, “Multi-objective gene-pool optimal mixing evolutionary algorithms,” in Proceedings of BeNeLux Conference on Artificial Intelligence BNAIC 2014, Radboud University, Nijmegen, The Netherlands, pp. 159–160.
Ngoc Hoang Luong and Peter A.N. Bosman, “Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt,” in Proceedings of BeNeLux Conference on Artificial Intelligence BNAIC 2012, Maastricht University, Maastricht, The Netherlands. pp. 305-306.