Thông tin nhà nghiên cứu KH&CN

Mal-D2GAN: Double-Detector based GAN for Malware Generation

A survey on generative adversarial networks for malware analysis

Semi-supervised multitask learning using convolutional autoencoder for faulty code detection with limited dat

A Competitive Co-Evolutionary Approach for the Multi-Objective Evolutionary Algorithms

A Multi-Objective Co-Operative Co-Evolutionary Method for Classification with Imbalanced Data

Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization

A bi-population genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints in mobile wireless sensor networks

Automatically classifying source code using tree-based approaches, Volume 114, March 2018, Pages 12-25

An effective and efficient approach to classification with incomplete data

Improving performance of classification on incomplete data using feature selection and clustering

DGCNN: A convolutional neural network over large-scale labeled graphs

A novel evolutionary multi-objective ensemble learning approach for forecasting currency exchange rates

Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems

Survivable Design of Last Mile Communication Networks using Multi-objective Genetic Algorithm,

A new niching method for the direction-based multi-objective evolutionary algorithm

A Ray Based Interactive Method for Direction Based Multi-objective Evolutionary Algorithm

Toward an Interactive Method for DMEA-II and Application to the Spam-Email Detection System

The direction-based evolutionary algorithm with a crowding mechanism

DMEA-II and its application on spam email detection problems

ADiscovery of pathways in protein-protein interaction networks using a genetic algorithm, Data & Knowledge Engineering, http://dx.doi.org/10.1016/j.datak.2015.04.002 Elsevier

A Multi-Objective Approach for Solving the Survivable Network Design Problem with Simultaneous Unicast and Anycast Flows, Applied Soft Computing, Elsevier, Volume 24, Pages 1145–1154

Long Nguyen and Lam T. Bui, and Husein Abbass,DMEA-II: the Direction-based Multi-objective Evolutionary Algorithm – Version II, Soft Computing, Springer, 18 (11), 2119-2134

DMEA: A Direction-based Multiobjective Evolutionary Algorithm, Soft Computing, 18 (11), 2119-2134

Bui, L.T. and Bender, A. and Barlow, M. and Abbass, H.A., Multiagent-Based Approach for Risk Analysis in Mission Capability Planning, Agent-Based Evolutionary Search, Springer, 2010

Soliman O.S., Bui L. and Abbass H.A., (2007) The Effect of a Stochastic Step Length on the Performance of the Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (CEC), Singapore, 25-28 September, 2007, pp 2850-2857

Lam T. Bui, Omar Soliman, Hussein A. Abbass, 12/2007, a Modified Strategy for the Constriction Factor in Particle Swarm Optimization, Proceedings of the Third Australian Conference on Artificial Life, Gold Coast, Brisbane, Australia, Lecture Notes in Artificial Intelligence 4828, Springer-Verlag, pp 333-344

Vinh Bui, Weiping Zhu and Lam Thu Bui, Optimal Relay Placement for Maximizing Path Diversity in Multipath Overlay Networks, Global Telecommunications Conference, 1544–1549,2008

Omar S. Soliman, Lam Thu Bui: A self-adaptive strategy for controlling parameters in Differential Evolution. IEEE Congress on Evolutionary Computation 2008: 2837-2842

Bruno H. Barbosa, Lam T. Bui, Hussein A. Abbass, Luis A. Aguirre, and Antonio P. Braga. 2008. Evolving an Ensemble of Neural Networks Using Artificial Immune Systems. In Proceedings of the 7th International Conference on Simulated Evolution and Learning (SEAL ’08), LNCS . Springer-Verlag, Berlin, Heidelberg, 121-130

Lam Thu Bui, James M. Whitacre, Hussein A. Abbass: Performance analysis of elitism in multi-objective ant colony optimization algorithms. IEEE Congress on Evolutionary Computation 2008: 1633-1640

Vinh Bui, Lam Thu Bui, Hussein A. Abbass, Axel Bender, Pradeep Ray: On the role of information networks in logistics: An evolutionary approach with military scenarios. IEEE Congress on Evolutionary Computation 2009: 598-605

Lam Thu Bui, Slawomir Wesolkowski, Axel Bender, Hussein A. Abbass, Michael Barlow: A dominance-based stability measure for multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2009: 749-756

Lam Thu Bui, Michael Barlow: Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction. ACAL 2009: 262-271, LNCS

Lam Thu Bui, Zbigniew Michalewicz: An evolutionary multi-objective approach for dynamic mission planning. IEEE Congress on Evolutionary Computation 2010

Viet V. Pham, Lam Thu Bui, Sameer Alam, Chris Lokan, Hussein A. Abbass: A Pittsburgh Multi-Objective Classifier for user preferred trajectories and flight navigation. IEEE Congress on Evolutionary Computation 2010

Lam Thu Bui and Zbignew Michalewicz, A Computational Framework for Adaptation in Military Mission Planning, Proceedings of the Second International Conference on Knowledge and Systems Engineering (KSE 2010)

Lam Thu Bui, Hussein Abbass, Stephen Baker, Michael Barlow, Axel Bender and Ruhul Saker, A Grid-Based Heuristic for Two-Dimensional Packing Problems. IEEE Congress on Evolutionary Computation 2011

Manuel Abello, Lam Thu Bui and Zbignew Michalewicz, An Adaptive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks — Part II. IEEE Congress on Evolutionary Computation 2011

Manuel Abello, Lam Thu Bui and Zbignew Michalewicz, An Adaptive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks — Part I. IEEE Congress on Evolutionary Computation 2011

Vu Chi Cuong, Hung Nguyen, Lam Thu Bui, A Parallel Cooperative Coevolution Evolutionary Algorithm. Proceedings of the Third International Conference on Knowledge and Systems Engineering (KSE 2011), Hanoi, Vietnam

Manuel Abello, Zbignew Michalewicz, and Lam Thu Bui, A Reactive-Proactive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks. IEEE Congress on Evolutionary Computation 2012, Australia

Lam T. Bui, Minh-Ha Nguyen, Jurgen Branke, Hussein A. Abbass, Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms. In Multiobjective Problem Solving from Nature: From Concepts to Applications, Joshua Knowles, David Corne, and Kalyanmoy Deb (Eds), Springer, pp. 77-92

Soliman, O. and Bui, L. and Abbass, H., A Memetic Coevolutionary Multi-Objective Differential Evolution Algorithm,Multi-Objective Memetic Algorithms, pages 369–388, Springer

Lam Thu Bui, Daryl Essam, Hussein A. Abbass: The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization. Parallel and Distributed Computational Intelligence, pp 181-206

Lam T. Bui and Sameer Alam, Multi-Objective Optimization in Computation Intelligence: Theory and Practice (Eds.), Information Science Reference, IGI Global, ISBN 9781599044989

Interleaving Guidance in Evolutionary Multi-objective Optimization, Journal of Computer Science and Technology, Vol. 23, No. 1, pp 44 – 66, 2008

Local Models – An approach to Distributed Multi-objective Optimization. Computational Optimization and Applications Journal, Springer, Vol 42, No 1, pp 105-139

Lam T. Bui, Michael Barlow, and Hussein A. Abbass, A Multiobjective Risk-based Framework for Mission Capability Planning, New Mathematics and Natural Computation, World Scientific , Vol 5, No 2, pp 459 – 485

Localization for Solving Noisy Multi-Objective Optimization Problems. Evolutionary Computation 17(3): 379-409

The use of coevolution and the artificial immune system for ensemble learning, Soft Computing, Springer, Volume 15, Issue 9 (2011), pp 1735-1747

Robustness Against the Decision-Maker’s Attitude to Risk in Problems With Conflicting Objectives, IEEE Transactions on Evolutionary Computation, Vol16, No 1,pp 1-19, 2012

Adaptation in Dynamic Environments: A Case Study in Mission Planning, IEEE Transactions on Evolutionary Computation, 16 (2), 190-209

Xây dựng thuật toán xác định và tránh va chạm cho máy CNC 5 trục theo hướng tiếp cận đa mục tiêu

Nghiên cứu đề xuất một số phương pháp tính toán tiến hóa trong xấp xỉ lời giải các bài toán tối ưu tổ hợp

Phân tích và phát hiện mã độc sử dụng các công nghệ trí tuệ nhân tạo

Nghiên cứu xây dựng hệ thống giám sát an ninh sử dụng công nghệ nhận dạng mặt người phục vụ công tác quản lý biên giới và xuất nhập cảnh

Kéo dài thời gian hoạt động của mạng Internet vạn vật sử dụng các thuật toán lấy cảm hứng từ tự nhiên

Vấn đề An ninh phi truyền thống, trọng tâm An ninh mạng trong nền an ninh quốc gia

Nghiên cứu xây dựng hệ thống giám sát an ninh sử dụng công nghệ nhận dạng mặt người phục vụ công tác quản lý biên giới và xuấy nhập cảnh

Operational research for green logistics in Vietnam – a UK-Vietnam research collaboration

Nghiên cứu đề xuất một số phương pháp tính toán tiến hóa trong xấp xỉ lời giải các bài toán tối ưu tổ hợp

Công nghệ đa tác tử và ứng dụng trong mô hình hóa đám đông

Đánh giá rủi ro trong lĩnh vực an ninh quốc phòng sử dụng công nghệ đa tác tử

Xây dựng thuật toán xác định và tránh va chạm cho máy CNC 5 trục theo hướng tiếp cận đa mục tiêu

Các phương pháp thích nghi dựa trên trí tuệ tính toán cho các hệ hỗ trợ quyết định làm việc trong các môi trường động và đa mục tiêu

Nghiên cứu xây dựng phương pháp luận và qui trình kiểm tra, đánh giá chất lượng của mốt số dạng phần mềm được cài đặt trong BQP