Publications

Journal Papers

1. Quan Minh Phan, Ngoc Hoang Luong, "Robust and Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search", ACM Transactions on Evolutionary Learning and Optimization, Volume 6(2), June 2026

2. Quan Minh Phan, Ngoc Hoang Luong, "From hand-crafted metrics to evolved training-free performance predictors for neural architecture search via symbolic regression", Neurocomputing, Volume 669, March 2026, 132440

3. An Vo, Nhat Minh Le, Ngoc Hoang Luong, "Efficient Multi-Objective Neural Architecture Search via Tree Search with Training-Free Metrics", SN Computer Science, Volume 7(2), February 2026

4. Thai Khac Nguyen, Nam Hoai Nguyen, Ngoc Hoang Luong, "A memetic ant colony optimization algorithm for the large-scale pickup and delivery problem with time windows", Swarm and Evolutionary Computation, Volume 101, Februrary 2026, 102295

5. Thai Huy Nguyen, Ngoc Hoang Luong, "Diverse and high-quality text generation assisted by large language models",  Knowledge-Based Systems, Volume 333, January 2026, 114954

6. Hai Tran Thanh, Dac Tam Nguyen, Minh Duc Ngo, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh, "KernelSHAP-NAS: a shapley additive explanatory approach for characterizing operation influences", Neural Computing and Applications, Volume 37(18), March 2025, 11755-11771

7. Quan Minh Phan, Ngoc Hoang Luong, "Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme", Swarm and Evolutionary Computation, Volume 87, June 2024, 101573

8. Ngoc Hoang Luong, Quan Minh Phan, An Vo, Tan Ngoc Pham, Dzung Tri Bui, "Lightweight multi-objective evolutionary neural architecture search with low-cost proxy metrics", Information Sciences, Volume 655, January 2024

9. Quan Minh Phan, Ngoc Hoang Luong, "Enhancing multi-objective evolutionary neural architecture search with training-free Pareto local search", Applied Intelligence, vol. 53, pp. 8654–8672, 2023

10. 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, Volume 70, April 2022, 101044

11. 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

12. 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

13. 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.

14. 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.

15. 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.

16. 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.

Book Chapters

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.  

Conference Papers

1. Thai Huy Nguyen, Khoa Tran, Quan Minh Phan, Ngoc Hoang Luong, "Investigating Robustness in Vision-Language Models via Adversarial Prompt Illumination",  in Proceedings of the 2026 Genetic and Evolutionary Computation Conference (GECCO 2026), Santa Jose, Costa Rica

2. Hai-Dang Pham, Ngoc Hoang Luong, "Combining Policy Gradients with Quality-Diversity in Cooperative Multi-Agent Reinforcement Learning", in Proceedings Companion of the 2026 Genetic and Evolutionary Computation Conference (GECCO 2026 Companion), Santa Jose, Costa Rica

3. Khoa Tran, Linh Ly, Duy Khanh Ho, Ngoc Hoang Luong, "Enhancing Endoscopic Image Retrieval via Self-Supervised Learning and Large VLM-Based Re-ranking", in Proceedings of the 2025 ACM International Conference on Multimedia (ACM MM 2025), Dublin, Ireland

4. Khang Gia Le, Ngoc Hoang Luong, "Black-Box Adversarial Attack on Dialogue Generation via Multi-Objective Optimization",  in Proceedings of the 2025 Genetic and Evolutionary Computation Conference (GECCO 2025), Málaga, Spain

5. Chi Cuong Le, Tri Phan, Ngoc Hoang Luong, "Gradient-Free Sparse Adversarial Attack on Object Detection Models",  in Proceedings of the 2025 Genetic and Evolutionary Computation Conference (GECCO 2025), Málaga, Spain

6. Tuan Anh Nguyen, Ngoc Hoang Luong, "Toward Efficient Mixed-Integer Black-Box Optimization via Evolution Strategies with Plateau Handling Techniques", in Proceedings of the 2025 Genetic and Evolutionary Computation Conference (GECCO 2025), Málaga, Spain

7. Quan Minh Phan, Ngoc Hoang Luong, "Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search," in Proceedings of the 2024 Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Victoria, Australia

8. An Vo, Ngoc Hoang Luong, "Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search," in Proceedings of the 2024 Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Victoria, Australia

9. Thai Bao Tran, Ngoc Hoang Luong, "On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks," in Proceedings of the 2024 Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Victoria, Australia

10. Tri Phan, Khang Tran, Ngoc Hoang Luong, "Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows," in Proceedings Companion of the 2024 Genetic and Evolutionary Computation Conference (GECCO 2024 Companion), Melbourne, Victoria, Australia

11. Thanh Hai Tran, Long Doan, Ngoc Hoang Luong, Binh Huynh Thi Thanh, "THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search," in Proceedings of the 2024 Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Victoria, Australia

12. Thai Bao Tran, Ngoc Hoang Luong, "Evolutionary Deep Reinforcement Learning via Hybridizing Estimation-of-Distribution Algorithms with Policy Gradients," in Proceedings of the 2024 IEEE Congress on Evolutionary Computation (CEC),  Yokohama, Japan

13. Minh Le, An Vo, Ngoc Hoang Luong, "Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search," in Proceedings of the 2024 IEEE Congress on Evolutionary Computation (CEC),  Yokohama, Japan

14. Quan Minh Phan, Ngoc Hoang Luong, "Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search," in Proceedings of the 2023 Genetic and Evolutionary Computation Conference (GECCO 2023), Lisbon, Portugal

15. Thai Huy Nguyen, Ngoc Hoang Luong, "Stable and Sample-Efficient Policy Search for Continuous Control via Hybridizing Phenotypic Evolutionary Algorithm with the Double Actors Regularized Critics," in Proceedings of the 2023 Genetic and Evolutionary Computation Conference (GECCO 2023), Lisbon, Portugal

16. Hai Long Tran, Long Doan, Ngoc Hoang Luong, Binh Huynh Thi Thanh, "A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control," in Proceedings of the 2023 Genetic and Evolutionary Computation Conference (GECCO 2023), Lisbon, Portugal

17. Thai Bao Tran, Ngoc Hoang Luong, "Benchmarking Gradient Estimation Mechanisms in Evolution Strategies for Solving Black-Box Optimization Functions and Reinforcement Learning Problems," in Proceedings of the 11th International Symposium on Information and Communication Technology (SoICT 2022), Hanoi, Vietnam.

18. An Vo, Tan Ngoc Pham, Van Bich Nguyen, Ngoc Hoang Luong, "Training-Free Multi-Objective and Many-Objective Evolutionary Neural Architecture Search with Synaptic Flow," in Proceedings of the 11th International Symposium on Information and Communication Technology (SoICT 2022), Hanoi, Vietnam. (Best Paper Award)

19. Quan Minh Phan, Ngoc Hoang Luong, "TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search," in Proceedings of the 2022 14th International Conference on Computational Collective Intelligence (ICCCI), Hammamet, Tunisia.

20. Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh, "TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search," in Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy.

21. Hieu Trung Nguyen, Khang Tran, Ngoc Hoang Luong, "Combining Soft-Actor Critic with Cross-Entropy Method for Policy Search in Continuous Control," in Proceedings of the 2022 IEEE Congress on Evolutionary Computation (CEC),  Padua, Italy

22. Hieu Trung Nguyen, Khang Tran, Ngoc Hoang Luong, "Enhancing Twin Delayed Deep Deterministic Policy Gradient with Cross-Entropy Method," in Proceedings of the 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam. (Best Paper Award)

23. Quan Minh Phan, Ngoc Hoang Luong, "Efficiency Enhancement of Evolutionary Neural Architecture Search via Training-Free Initialization," in Proceedings of the 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam.

24. 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.

25. Michal W Przewozniczek, Marcin M Komarnicki, Peter AN Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong, "Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms," in Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion), Lille, France.

26. 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.

27. 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.

28. 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.

29. Quoc Thai Nguyen, Thoai Linh Nguyen, Ngoc Hoang Luong, Quoc-Hung Ngo, "Fine-tuning BERT for sentiment analysis of Vietnamese reviews", in Proceedings of the 7th NAFOSTED Conference on Information and Computer Science NICS 2020, Ho Chi Minh City, Vietnam

30. 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.

31. 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.

32. 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.

33. 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.

34. 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.

35. 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)

36. 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.

37. 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)

38. 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.

39. 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.

40. 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.

41. 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.

42. 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.

43. 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)

44. 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.

45. 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.

Abstracts

1. Khoa Huu Tran, Luc Truong, An Vo, Ngoc Hoang Luong, "Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow,"  in Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (GECCO 2023 Companion), Lisbon, Portugal (Late Breaking Abstract)

2. 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.

3. 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.

4. 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.

5. 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.