Lam Thu Bui

According to our database1, Lam Thu Bui authored at least 71 papers between 2005 and 2020.

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Bibliography

2020
A multifactorial optimization paradigm for linkage tree genetic algorithm.
Inf. Sci., 2020

Improving many objective optimisation algorithms using objective dimensionality reduction.
Evol. Intell., 2020

Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance.
CoRR, 2020

A Competitive Co-Evolutionary Approach for the Multi-Objective Evolutionary Algorithms.
IEEE Access, 2020

An ensemble multi-objective particle swarm optimization approach for exchange rates forecasting problem.
Proceedings of the ICMLSC 2020: The 4th International Conference on Machine Learning and Soft Computing, 2020

2019
Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Clustering Method using Pareto Corner Search Evolutionary Algorithm for Objective Reduction in Many-Objective Optimization Problems.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

A multi-objective cooperative coevolutionary approach for remote sensing image classification.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

A Pareto Corner Search Evolutionary Algorithm and Principal Component Analysis for Objective Dimensionality Reduction.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

2018
DGCNN: A convolutional neural network over large-scale labeled graphs.
Neural Networks, 2018

An effective and efficient approach to classification with incomplete data.
Knowl. Based Syst., 2018

Automatically classifying source code using tree-based approaches.
Data Knowl. Eng., 2018

A novel evolutionary multi-objective ensemble learning approach for forecasting currency exchange rates.
Data Knowl. Eng., 2018

Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput., 2018

Apprenticeship Bootstrapping: Inverse Reinforcement Learning in a Multi-Skill UAV-UGV Coordination Task.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems.
Appl. Intell., 2017

Supervised deep actor network for imitation learning in a ground-air UAV-UGVs coordination task.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

SibStCNN and TBCNN + kNN-TED: New Models over Tree Structures for Source Code Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

An Online Packing Heuristic for the Three-Dimensional Container Loading Problem in Dynamic Environments and the Physical Internet.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
A survivable design of last mile communication networks using multi-objective genetic algorithms.
Memetic Comput., 2016

Preface KSE 2016.
Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016

A multi-objective ensemble learning approach based on the non-dominated sorting differential evolution for forecasting currency exchange rates.
Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

2015
Discovery of pathways in protein-protein interaction networks using a genetic algorithm.
Data Knowl. Eng., 2015

Performance Measurement for Interactive Multi-objective Evolutionary Algorithms.
Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

2014
DMEA-II: the direction-based multi-objective evolutionary algorithm-II.
Soft Comput., 2014

A multi-objective approach for solving the survivable network design problem with simultaneous unicast and anycast flows.
Appl. Soft Comput., 2014

New Mechanism of Combination Crossover Operators in Genetic Algorithm for Solving the Traveling Salesman Problem.
Proceedings of the Knowledge and Systems Engineering, 2014

DMEA-II and its application on spam email detection problems.
Proceedings of the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2014

2013
Toward an agent based distillation approach for protesting crowd simulation.
CoRR, 2013

A survey on hybridizing genetic algorithm with dynamic programming for solving the traveling salesman problem.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

A genetic-based approach for discovering pathways in protein-protein interaction networks.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

A Multi-objective Approach for Vietnamese Spam Detection.
Proceedings of the Knowledge and Systems Engineering, 2013

A Ray Based Interactive Method for Direction Based Multi-objective Evolutionary Algorithm.
Proceedings of the Knowledge and Systems Engineering, 2013

A new niching method for the direction-based multi-objective evolutionary algorithm.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2013

2012
Adaptation in Dynamic Environments: A Case Study in Mission Planning.
IEEE Trans. Evol. Comput., 2012

Robustness Against the Decision-Maker's Attitude to Risk in Problems With Conflicting Objectives.
IEEE Trans. Evol. Comput., 2012

DEAL: A Direction-Guided Evolutionary Algorithm.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

A Multi-Objective Approach for Master's Thesis Committees Scheduling Using DMEA.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

A Multi-point Interactive Method for Multi-objective Evolutionary Algorithms.
Proceedings of the Fourth International Conference on Knowledge and Systems Engineering, 2012

A reactive-proactive approach for solving dynamic scheduling with time-varying number of Tasks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
The use of coevolution and the artificial immune system for ensemble learning.
Soft Comput., 2011

DMEA: a direction-based multiobjective evolutionary algorithm.
Memetic Comput., 2011

A Parallel Cooperative Coevolution Evolutionary Algorithm.
Proceedings of the Third International Conference on Knowledge and Systems Engineering, 2011

A grid-based heuristic for two-dimensional packing problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part I.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

A Pittsburgh Multi-Objective Classifier for user preferred trajectories and flight navigation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

An evolutionary multi-objective approach for dynamic mission planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Localization for Solving Noisy Multi-Objective Optimization Problems.
Evol. Comput., 2009

Local models - an approach to distributed multi-objective optimization.
Comput. Optim. Appl., 2009

A dominance-based stability measure for multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

On the role of information networks in logistics: An evolutionary approach with military scenarios.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008
Interleaving Guidance in Evolutionary Multi-Objective Optimization.
J. Comput. Sci. Technol., 2008

Evolving an Ensemble of Neural Networks Using Artificial Immune Systems.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Optimal Relay Placement for Maximizing Path Diversity in Multipath Overlay Networks.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

A self-adaptive strategy for controlling parameters in Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Performance analysis of elitism in multi-objective ant colony optimization algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms.
Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007
The role of communication messages andexplicit niching in distributed evolutionarymulti-objective optimization.
PhD thesis, 2007

The effect of a stochastic step length on the performance of the differential evolution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Modified Strategy for the Constriction Factor in Particle Swarm Optimization.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006
Dual Guidance in Evolutionary Multi-objective Optimization by Localization.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Pareto Meta-heuristics for Generating Safe Flight Trajectories Under Weather Hazards.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

2005
Diversity as a selection pressure in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Fitness inheritance for noisy evolutionary multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Multiobjective optimization for dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Chapter 3 Cooperative Coevolution of Genotype - Phenotype Mappings to Solve Epistatic Optimization Problems.
Proceedings of the Recent Advances in Artificial Life, 2005


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