Entropy-based substructural local search for the bayesian optimization algorithm. - Hoang N. Luong; Hai T. T. Nguyen; Chang Wook Ahn (GECCO, 2010)

Entropy measurement-based estimation model for bayesian optimization algorithm. - Hai T. T. Nguyen; Hoang N. Luong; Chang Wook Ahn (GECCO, 2010)

Entropy-Based Evaluation Relaxation Strategy for Bayesian Optimization Algorithm. - Hoang Ngoc Luong; Hai Thanh Thi Nguyen; Chang Wook Ahn (IEA/AIE (2), 2010)

Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt. - Hoang N. Luong; Peter A. N. Bosman (PPSN (2), 2012)

Entropy-based efficiency enhancement techniques for evolutionary algorithms. - Ngoc Hoang Luong; Hai Thanh Thi Nguyen; Chang Wook Ahn (Inf. Sci., 2012)

Medium-Voltage Distribution Network Expansion Planning with Gene-pool Optimal Mixing Evolutionary Algorithms. - Hoang N. Luong; Marinus O. W. Grond; Peter A. N. Bosman; Han La Poutré (Artificial Evolution, 2013)

Efficiency enhancements for evolutionary capacity planning in distribution grids. - Ngoc Hoang Luong; Marinus O. W. Grond; Han La Poutré; Peter A. N. Bosman (GECCO (Companion), 2014)

Multi-objective gene-pool optimal mixing evolutionary algorithms. - Ngoc Hoang Luong; Han La Poutré; Peter A. N. Bosman (GECCO, 2014)

Practice-oriented optimization of distribution network planning using metaheuristic algorithms. - Marinus O. W. Grond; Ngoc Hoang Luong; Johan Morren; Peter A. N. Bosman; Han Slootweg; Han La Poutré (PSCC, 2014)

Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. - Peter A. N. Bosman; Ngoc Hoang Luong; Dirk Thierens (GECCO, 2016)

The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. - Anton Bouter; Ngoc Hoang Luong; Cees Witteveen; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2017)

Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. - Ngoc Hoang Luong; Anton Bouter; Marjolein C. van der Meer; Yury Niatsetski; Cees Witteveen; Arjan Bel; Tanja Alderliesten; Peter A. N. Bosman (GECCO (Companion), 2017)

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. - Krzysztof L. Sadowski; Marjolein C. van der Meer; Ngoc Hoang Luong; Tanja Alderliesten; Dirk Thierens; Rob van der Laarse; Yury Niatsetski; Arjan Bel; Peter A. N. Bosman (GECCO, 2017)

Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. - Ngoc Hoang Luong; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2018)

Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem. - G. H. Aalvanger; Ngoc Hoang Luong; Peter A. N. Bosman; Dirk Thierens (PPSN (1), 2018)

Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning. - Ngoc Hoang Luong; Han La Poutré; Peter A. N. Bosman (Evol. Comput., 2018)

Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment. - Ngoc Hoang Luong; Tanja Alderliesten; Arjan Bel; Yury Niatsetski; Peter A. N. Bosman (Swarm Evol. Comput., 2018)

Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme. - Ngoc Hoang Luong; Han La Poutré; Peter A. N. Bosman (Swarm Evol. Comput., 2018)

Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. - Ngoc Hoang Luong; Tanja Alderliesten; Bradley R. Pieters; Arjan Bel; Yury Niatsetski; Peter A. N. Bosman (Appl. Soft Comput., 2019)

Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews. - Quoc Thai Nguyen; Thoai Linh Nguyen; Ngoc Hoang Luong; Quoc Hung Ngo (CoRR, 2020)

Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. - Michal Witold Przewozniczek; Marcin M. Komarnicki; Peter A. N. Bosman; Dirk Thierens; Bartosz Frej; Ngoc Hoang Luong (GECCO Companion, 2021)

Training-Free Multi-objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions. - Tu Do; Ngoc Hoang Luong (ICONIP (2), 2021)

Insightful and Practical Multi-objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms. - Tu Do; Ngoc Hoang Luong (IEA/AIE (1), 2021)

Enhancing Multi-objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches. - Quan Minh Phan; Ngoc Hoang Luong (IEA/AIE (1), 2021)

Combining Soft-Actor Critic with Cross-Entropy Method for Policy Search in Continuous Control. - Hieu Trung Nguyen; Khang Tran; Ngoc Hoang Luong (CEC, 2022)

TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search. - Quan Minh Phan; Ngoc Hoang Luong (ICCCI, 2022)

TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search. - Long Doan; Hieu Le; Huy Dang; Long Tran; Dao Hoang Long; Hai Minh Nguyen; Hanh Pham; Nam Nguyen; Ngoc Hoang Luong; Huynh Thi Thanh Binh (IJCNN, 2022)

Benchmarking Gradient Estimation Mechanisms in Evolution Strategies for Solving Black-Box Optimization Functions and Reinforcement Learning Problems. - Thai Bao Tran; Ngoc Hoang Luong (SoICT, 2022)

Training-Free Multi-Objective and Many-Objective Evolutionary Neural Architecture Search with Synaptic Flow. - An Vo; Tan Ngoc Pham; Van Bich Nguyen; Ngoc Hoang Luong (SoICT, 2022)

On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization. - Arthur Guijt; Ngoc Hoang Luong; Peter A. N. Bosman; Mathijs de Weerdt (Swarm Evol. Comput., 2022)

Stable and Sample-Efficient Policy Search for Continuous Control via Hybridizing Phenotypic Evolutionary Algorithm with the Double Actors Regularized Critics. - Thai Huy Nguyen; Ngoc Hoang Luong (GECCO, 2023)

Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search. - Quan Minh Phan; Ngoc Hoang Luong (GECCO, 2023)

A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control. - Hai-Long Tran; Long Doan; Ngoc Hoang Luong; Huynh Thi Thanh Binh (GECCO, 2023)

Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow. - Khoa Huu Tran; Luc Truong; An Vo; Ngoc Hoang Luong (GECCO Companion, 2023)

Data Augmentation with Large Language Models for Vietnamese Abstractive Text Summarization. - Huy M. Le; Vy T. Luong; Ngoc Hoang Luong (MAPR, 2023)

Evolving Prompts for Synthetic Image Generation with Genetic Algorithm. - Khoi Dinh Tran; Dat Viet Bui; Ngoc Hoang Luong (MAPR, 2023)

Data Augmentation with GPT-3.5 for Vietnamese Natural Language Inference. - Hieu-Hien Mai; Ngoc Hoang Luong (RIVF, 2023)

Enhancing Training-Free Multi-Objective Pruning-Based Neural Architecture Search with Low-Cost Local Search. - Quan Minh Phan; Ngoc Hoang Luong (RIVF, 2023)

Bias-free Trading Algorithms with Momentum Scores for the Vietnamese Stock Market. - Truong Do; Ngoc Hoang Luong (SoICT, 2023)

Self-Adaptive Ant System with Hierarchical Clustering for the Thief Orienteering Problem. - Vu Huynh; The Viet Le; Ngoc Hoang Luong (SoICT, 2023)

Understanding the Role of Population Experiences in Proximal Distilled Evolutionary Reinforcement Learning. - Thai Huy Nguyen; Ngoc Hoang Luong (SoICT, 2023)

Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem. - Hoang Nguyen; Nam Le 004; Khang Tran; Ngoc Hoang Luong (SoICT, 2023)

Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture. - Doan Thai Binh Phan; Phuoc Vinh Linh Le; Ngoc Hoang Luong; M. Tahar Kechadi; Hung Q. Ngo (SoICT, 2023)

Efficacy of Neural Prediction-Based NAS for Zero-Shot NAS Paradigm. - Minh Le; Nhan Nguyen; Ngoc Hoang Luong (CoRR, 2023)

Lightweight Multi-Objective and Many-Objective Problem Formulations for Evolutionary Neural Architecture Search with the Training-Free Performance Metric Synaptic Flow. - An Vo; Tan Ngoc Pham; Van Bich Nguyen; Ngoc Hoang Luong (Informatica (Slovenia), 2023)

Enhancing multi-objective evolutionary neural architecture search with training-free Pareto local search. - Quan Minh Phan; Ngoc Hoang Luong (Appl. Intell., 2023)

Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search. - Nhat Minh Le; An Vo; Ngoc Hoang Luong (CEC, 2024)

Evolutionary Deep Reinforcement Learning via Hybridizing Estimation-of-Distribution Algorithms with Policy Gradients. - Thai Bao Tran; Ngoc Hoang Luong (CEC, 2024)

Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search. - Quan Minh Phan; Ngoc Hoang Luong (GECCO, 2024)

Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows. - Tri Phan; Khang Tran; Ngoc Hoang Luong (GECCO Companion, 2024)

THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search. - Hai Tran Thanh; Long Doan; Ngoc Hoang Luong; Huynh Thi Thanh Binh (GECCO, 2024)

On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks. - Thai Bao Tran; Ngoc Hoang Luong (GECCO, 2024)

Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search. - An Vo; Ngoc Hoang Luong (GECCO, 2024)

Evaluating the Adversarial Robustness of Evolutionary Neural Architecture Search. - Quan Minh Phan; Hieu Trung Nguyen; Van Bich Nguyen; Ngoc Hoang Luong (MAPR, 2024)

Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme. - Quan Minh Phan; Ngoc Hoang Luong (Swarm Evol. Comput., 2024)

Lightweight multi-objective evolutionary neural architecture search with low-cost proxy metrics. - Ngoc Hoang Luong; Quan Minh Phan; An Vo; Tan Ngoc Pham; Dzung Tri Bui (Inf. Sci., 2024)

Black-Box Adversarial Attack on Dialogue Generation via Multi-Objective Optimization. - Khang Gia Le; Ngoc Hoang Luong (GECCO, 2025)

Gradient-Free Sparse Adversarial Attack on Object Detection Models. - Chi Cuong Le; Tri Phan; Ngoc Hoang Luong (GECCO, 2025)

Toward Efficient Mixed-Integer Black-Box Optimization via Evolution Strategies with Plateau Handling Techniques. - Tuan Anh Nguyen; Ngoc Hoang Luong (GECCO, 2025)

From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming. - Quan Minh Phan; Ngoc Hoang Luong (CoRR, 2025)

Kernelshap-nas: a shapley additive explanatory approach for characterizing operation influences. - Hai Tran Thanh; Dac Tam Nguyen; Minh Duc Ngo; Long Doan; Ngoc Hoang Luong; Huynh Thi Thanh Binh (Neural Comput. Appl., 2025)