Ngoc Hoang Luong
Orcid: 0000-0002-6768-1950
According to our database1,
Ngoc Hoang Luong
authored at least 47 papers
between 2010 and 2024.
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Bibliography
2024
Lightweight multi-objective evolutionary neural architecture search with low-cost proxy metrics.
Inf. Sci., January, 2024
2023
Enhancing multi-objective evolutionary neural architecture search with training-free Pareto local search.
Appl. Intell., April, 2023
Lightweight Multi-Objective and Many-Objective Problem Formulations for Evolutionary Neural Architecture Search with the Training-Free Performance Metric Synaptic Flow.
Informatica (Slovenia), 2023
Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023
Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023
Understanding the Role of Population Experiences in Proximal Distilled Evolutionary Reinforcement Learning.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023
Self-Adaptive Ant System with Hierarchical Clustering for the Thief Orienteering Problem.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023
Enhancing Training-Free Multi-Objective Pruning-Based Neural Architecture Search with Low-Cost Local Search.
Proceedings of the International Conference on Computing and Communication Technologies, 2023
Proceedings of the International Conference on Computing and Communication Technologies, 2023
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2023
Data Augmentation with Large Language Models for Vietnamese Abstractive Text Summarization.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2023
Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Stable and Sample-Efficient Policy Search for Continuous Control via Hybridizing Phenotypic Evolutionary Algorithm with the Double Actors Regularized Critics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
2022
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization.
Swarm Evol. Comput., 2022
Training-Free Multi-Objective and Many-Objective Evolutionary Neural Architecture Search with Synaptic Flow.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022
Benchmarking Gradient Estimation Mechanisms in Evolution Strategies for Solving Black-Box Optimization Functions and Reinforcement Learning Problems.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022
Combining Soft-Actor Critic with Cross-Entropy Method for Policy Search in Continuous Control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Enhancing Multi-objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Insightful and Practical Multi-objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Training-Free Multi-objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
2019
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy.
Appl. Soft Comput., 2019
2018
Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme.
Swarm Evol. Comput., 2018
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment.
Swarm Evol. Comput., 2018
Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning.
Evol. Comput., 2018
Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
2014
Practice-oriented optimization of distribution network planning using metaheuristic algorithms.
Proceedings of the 2014 Power Systems Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Medium-Voltage Distribution Network Expansion Planning with Gene-pool Optimal Mixing Evolutionary Algorithms.
Proceedings of the Artificial Evolution, 2013
2012
Inf. Sci., 2012
Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010