Hussein A. Abbass

Orcid: 0000-0002-8837-0748

Affiliations:
  • University of New South Wales, Canberra, Australia


According to our database1, Hussein A. Abbass authored at least 323 papers between 1999 and 2024.

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Bibliography

2024
Contextually aware intelligent control agents for heterogeneous swarms.
Swarm Intell., December, 2024

Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI).
IEEE Trans. Artif. Intell., September, 2024

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., August, 2024

A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation.
Inf. Sci., 2024

A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics.
Expert Syst. Appl., 2024

2023
Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts.
Adapt. Behav., August, 2023

Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example.
IEEE Trans. Artif. Intell., June, 2023

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., May, 2023

Swarm Metaverse for Multi-Level Autonomy Using Digital Twins.
Sensors, 2023

Planning-assisted autonomous swarm shepherding with collision avoidance.
CoRR, 2023

Interpretation of Neural Network Players for a Generalized Divide the Dollar Game Using SHAP Values.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding.
Proceedings of the International Joint Conference on Neural Networks, 2023

Effective Robotic Swarm Shepherding in the Presence of Obstacles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography.
IEEE Trans. Syst. Man Cybern. Syst., 2022

MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation.
IEEE Trans. Intell. Transp. Syst., 2022

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

Weighted Gate Layer Autoencoders.
IEEE Trans. Cybern., 2022

Multi-operator continuous ant colony optimisation for real world problems.
Swarm Evol. Comput., 2022

A machine education approach to swarm decision-making in best-of-n problems.
Swarm Intell., 2022

Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Characterization of Indicators for Adaptive Human-Swarm Teaming.
Frontiers Robotics AI, 2022

Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning.
Expert Syst. Appl., 2022

Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance.
CoRR, 2022

Onto4MAT: A Swarm Shepherding Ontology for Generalised Multi-Agent Teaming.
CoRR, 2022

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2022

A survey, taxonomy and progress evaluation of three decades of swarm optimisation.
Artif. Intell. Rev., 2022

Onto4MAT: A Swarm Shepherding Ontology for Generalized Multiagent Teaming.
IEEE Access, 2022

Reinforcement Learning for Solving Communication Problems in Shepherding.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Scalable Adversarial Online Continual Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Latent Preserving Generative Adversarial Network for Imbalance Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Lightweight Monocular Depth Estimation with an Edge Guided Network.
Proceedings of the 17th International Conference on Control, 2022

On The Role Of Modelling And Simulation For Artificial Intelligence.
Proceedings of the 36th ECMS International Conference on Modelling and Simulation, 2022

Autonomous Swarm Shepherding Using Curriculum-Based Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review.
IEEE Trans. Cybern., 2021

Editorial: What is Artificial Intelligence?
IEEE Trans. Artif. Intell., 2021

On the channel density of EEG signals for reliable biometric recognition.
Pattern Recognit. Lett., 2021

Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering.
J. Data Inf. Sci., 2021

Human-Swarm-Teaming Transparency and Trust Architecture.
IEEE CAA J. Autom. Sinica, 2021

Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification.
CoRR, 2021

Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control.
CoRR, 2021

Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces.
CoRR, 2021

Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports].
IEEE Comput. Intell. Mag., 2021

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021

Towards a systematic educational framework for human-machine teaming.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

Distributed Multi-agent Shepherding with Consensus.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deep Learning For Noisy Communication System.
Proceedings of the 31st International Telecommunication Networks and Applications Conference, 2021

Does Adversarial Oversampling Help us?
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Graph-based Approach for Shepherding Swarms with Limited Sensing Range.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Editorial: Artificial Intelligence: A New Transactions.
IEEE Trans. Artif. Intell., 2020

BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs.
Pattern Recognit., 2020

Trust Mediating Reliability-Reliance Relationship in Supervisory Control of Human-Swarm Interactions.
Hum. Factors, 2020

Q-Learning with Differential Entropy of Q-Tables.
CoRR, 2020

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding.
CoRR, 2020

Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees.
CoRR, 2020

The Limits of Reactive Shepherding Approaches for Swarm Guidance.
IEEE Access, 2020

Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Document Clustering and Labeling for Research Trend Extraction and Evolution Mapping.
Proceedings of the 1st Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents co-located with the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Trust-Aware Human-Automation Interaction: An Overview of the Potential of Computational Trust Models.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

A preliminary study towards an improved shepherding model.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Swarm Collective Wisdom: A Fuzzy-Based Consensus Approach for Evaluating Agents Confidence in Global States.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

A Framework for Understanding the Dynamics of Science: A Case Study on AI.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

2019
Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States.
IEEE Trans. Inf. Forensics Secur., 2019

Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust.
Cogn. Comput., 2019

Effects of update rules on networked <i>N</i>-player trust game dynamics.
Commun. Nonlinear Sci. Numer. Simul., 2019

Stable EEG Biometrics Using Convolutional Neural Networks and Functional Connectivity.
Aust. J. Intell. Inf. Process. Syst., 2019

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey.
IEEE Access, 2019

An Airspace Collision Risk Simulator for Safety Assessment.
Proceedings of the 2019 Winter Simulation Conference, 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

Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Machine Education: Designing semantically ordered and ontologically guided modular neural networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Cyber-Shepherd: A Smartphone-based Game for Human and Autonomous Swarm Control.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design.
Proceedings of the International Joint Conference on Neural Networks, 2019

Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2019

Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Punishing Untrustworthiness and Free Riders to Maintain Cooperation in Multi-agent Social Dilemmas Using Fuzzy Logic.
Proceedings of the 2019 11th International Conference on Computer and Automation Engineering, 2019

Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Networking the Boids Is More Robust Against Adversarial Learning.
IEEE Trans. Netw. Sci. Eng., 2018

Hierarchical Deep Reinforcement Learning for Continuous Action Control.
IEEE Trans. Neural Networks Learn. Syst., 2018

Corrections to "Guest Editorial: Special Issue on Human-Machine Symbiosis".
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Guest Editorial: Special Issue on Human-Machine Symbiosis.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Toward Electroencephalographic Profiling of Player Motivation: A Survey.
IEEE Trans. Cogn. Dev. Syst., 2018

Assessing Human Judgment of Computationally Generated Swarming Behavior.
Frontiers Robotics AI, 2018

Automatic estimation of differential evolution parameters using Hidden Markov Models.
Evol. Intell., 2018

Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents.
CoRR, 2018

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction.
CoRR, 2018

Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges.
CoRR, 2018

Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey.
CoRR, 2018

When is altruistic punishment useful in social dilemmas?
Biosyst., 2018

Human-Guided Evolutionary Story Narration.
IEEE Access, 2018

EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Apprenticeship Bootstrapping.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-scale Weighted Inherent Fuzzy Entropy for EEG Biomarkers.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Critical Analysis of Punishment in Public Goods Games.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 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
Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules.
IEEE Trans. Neural Networks Learn. Syst., 2017

Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2017

On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization.
Int. J. Comput. Intell. Appl., 2017

Effects of update rules on networked N-player trust game dynamics.
CoRR, 2017

A Survey of Learning Classifier Systems in Games [Review Article].
IEEE Comput. Intell. Mag., 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

Multi-Task Deep Reinforcement Learning for Continuous Action Control.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Emotion, Trustworthiness and Altruistic Punishment in a Tragedy of the Commons Social Dilemma.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Evolving Narrations of Strategic Defence and Security Scenarios for Computational Scenario Planning.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2016

The N-Player Trust Game and its Replicator Dynamics.
IEEE Trans. Evol. Comput., 2016

Pairwise Comparative Classification for Translator Stylometric Analysis.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016

Decompositional independent component analysis using multi-objective optimization.
Soft Comput., 2016

Editorial.
Memetic Comput., 2016

A multi-disciplinary review of knowledge acquisition methods: From human to autonomous eliciting agents.
Knowl. Based Syst., 2016

Evolutionary multi-objective resource allocation and scheduling in the Chinese navigation satellite system project.
Eur. J. Oper. Res., 2016

A multiobjective distance separation methodology to determine sector-level minimum separation for safe air traffic scenarios.
Eur. J. Oper. Res., 2016

Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges.
Cogn. Comput., 2016

Computational Intelligence for Brain Computer Interface [Guest Editorial].
IEEE Comput. Intell. Mag., 2016

IEEE CIS VP-Technical Activities Vision Statement [Society Briefs].
IEEE Comput. Intell. Mag., 2016

A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data.
IEEE Access, 2016

Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-Based Swarm Intelligence Model.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Quantifying Swarming Behaviour.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Designing artificial agents to detect the motive profile of users in virtual worlds and games.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Emergence of order in leader-follower Boids-inspired systems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Eye movements as information markers in EEG data.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Continuous authentication using EEG and face images for trusted autonomous systems.
Proceedings of the 14th Annual Conference on Privacy, Security and Trust, 2016

Multiway analysis of EEG artifacts based on Block Term Decomposition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hybrid knowledge-based evolutionary many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

Finite Population Trust Game Replicators.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Application of chaos measures to a simplified boids flocking model.
Swarm Intell., 2015

Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition.
Proceedings of the Intelligent and Evolutionary Systems - The 19th Asia Pacific Symposium, 2015

A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Evolutionary Big Optimization (BigOpt) of Signals.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Autonomous Hypothesis Generation as an Environment Learning Mechanism for Agent Design.
Proceedings of the Artificial Life and Computational Intelligence, 2015

2014
A Knowledge-Based Evolutionary Multiobjective Approach for Stochastic Extended Resource Investment Project Scheduling Problems.
IEEE Trans. Evol. Comput., 2014

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

Visualizing Cognitive Moves for Assessing Information Perception Biases in Decision Making.
CoRR, 2014

Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data.
Brain Informatics, 2014

MOCCA-II: A multi-objective co-operative co-evolutionary algorithm.
Appl. Soft Comput., 2014

Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context.
Adapt. Behav., 2014

Analysis of Online Signature Based Learning Classifier Systems for Noisy Environments: A Feedback Control Theoretic Approach.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

On the Role of Working Memory in Trading-Off Skills and Situation Awareness in Sudoku.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Calibrating Independent Component Analysis with Laplacian Reference for Real-Time EEG Artifact Removal.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

An interactive evolutionary computation framework controlled via EEG signals.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

On trust and influence: A computational red teaming game theoretic perspective.
Proceedings of the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2014

Risk management with hard-soft data fusion in maritime domain awareness.
Proceedings of the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2014

Behavioral learning of aircraft landing sequencing using a society of Probabilistic Finite state Machines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Online generation of trajectories for autonomous vehicles using a multi-agent system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Trading-off simulation fidelity and optimization accuracy in air-traffic experiments using differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Online knowledge-based evolutionary multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection.
Pattern Anal. Appl., 2013

Modeling and Simulation of Road Traffic Behavior: Artificial Drivers with Personality and Emotions.
J. Adv. Comput. Intell. Intell. Informatics, 2013

An agent-based model to simulate and analyse behaviour under noisy and deceptive information.
Adapt. Behav., 2013

An evolutionary goal-programming approach towards scenario design for air-traffic human-performance experiments.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2013

Real time prediction of worst case air traffic sector collision risk using evolutionary optimization.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 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

Distributing cognitive resources in one-against-many strategy games.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

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

Motif Difficulty (MD): A Predictive Measure of Problem Difficulty for Evolutionary Algorithms Using Network Motifs.
Evol. Comput., 2012

IEEE World Congress on Computational Intelligence 2012 (IEEE WCCI 2012) [Conference Reports].
IEEE Comput. Intell. Mag., 2012

A Density Based Approach to the Access Point Layout Smart Distribution Grid Design Optimization Problem.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Developing Attention Focus Metrics for Autonomous Hypothesis Generation in Data Mining.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

From Subjective to Objective Metrics for Evolutionary Story Narration Using Event Permutations.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

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

Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Robo-Teacher: A Computational Simulation Based Educational System to Improve Cyber Security.
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

Neuro-Evolution of Escape Behaviour under High Level of Deception and Noise.
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

Evolving Story Narrative Using Surrogate Models of Human Judgement.
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

Neural and Speech Indicators of Cognitive Load for Sudoku Game Interfaces.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Frontal Cortex Neural Activities Shift Cognitive Resources Away from Facial Activities in Real-Time Problem Solving.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Psychophysiological Evaluation of Task Complexity and Cognitive Performance in a Human Computer Interface Experiment.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

A Psychophysiological Analysis of Weak Annoyances in Human Computer Interfaces.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multi-Uncertainty Problems (MUP) with applications to managing risk in resource-constrained project scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A multi-objective evolutionary method for Dynamic Airspace Re-sectorization using sectors clipping and similarities.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An expressive GL-2 grammar for representing story-like scenarios.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

What can make an airspace unsafe? characterizing collision risk using multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2012 IEEE Congress on Evolutionary Computation.
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

The causes for no causation: A computational perspective.
Inf. Knowl. Syst. Manag., 2011

Computational Red Teaming: Past, Present and Future.
IEEE Comput. Intell. Mag., 2011

Local-Global Interaction and the Emergence of Scale-Free Networks with Community Structures.
Artif. Life, 2011

Fleet estimation for defence logistics using a multi-objective learning classifier system.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A computational linguistic approach for the identification of translator stylometry using Arabic-English text.
Proceedings of the FUZZ-IEEE 2011, 2011

On computations and strategies for real and artificial systems.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

Competency awareness in strategic decision making.
Proceedings of the IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2011

An evolutionary multi-objective scenario-based approach for Stochastic Resource Investment Project Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

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

Mining Big Data Streams: The Fallacy of Blind Correlation and the Importance of Models.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 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

Adversarial learning: the impact of statistical sample selection techniques on neural ensembles.
Evol. Syst., 2010

Aviation emission inventory development and analysis.
Environ. Model. Softw., 2010

Intelligent Control Systems with an Introduction to System of Systems Engineering (Nanayakkara, T.; 2009) [Book Review].
IEEE Comput. Intell. Mag., 2010

Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms.
Proceedings of the Distributed, Parallel and Biologically Inspired Systems, 2010

Robustness of neural ensembles against targeted and random Adversarial Learning.
Proceedings of the FUZZ-IEEE 2010, 2010

A multi-objective risk-based approach for airlift task scheduling using stochastic bin packing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolutionary dynamics of interdependent exogenous risks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

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

Separated and overlapping community detection in complex networks using multiobjective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Adversarial Evolution: Phase transition in non-uniform hard satisfiability problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolving stories: Grammar evolution for automatic plot generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Learning synchronization in networked complex systems using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Self-Organized, Distributed, and Adaptive Rule-Based Induction System.
IEEE Trans. Neural Networks, 2009

Evolution and Incremental Learning in the Iterated Prisoner's Dilemma.
IEEE Trans. Evol. Comput., 2009

Evolutionary Game Theoretic Approach for Modeling Civil Violence.
IEEE Trans. Evol. Comput., 2009

Intrusion detection with evolutionary learning classifier systems.
Nat. Comput., 2009

An adaptive genetic-based signature learning system for intrusion detection.
Expert Syst. Appl., 2009

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

Robustness and Adaptiveness Analysis of Future Fleets
CoRR, 2009

Network Topology and Time Criticality Effects in the Modularised Fleet Mix Problem
CoRR, 2009

Computational Scenario-based Capability Planning
CoRR, 2009

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

Mebra: multiobjective evolutionary-based risk assessment.
IEEE Comput. Intell. Mag., 2009

The Pareto operating curve for risk minimization.
Artif. Life Robotics, 2009

Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A hierarchical conflict resolution method for multi-agent path planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 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

The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Distributed Learning Classifier Systems.
Proceedings of the Learning Classifier Systems in Data Mining, 2008

Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition, and Regularization.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Characterizing Game Dynamics in Two-Player Strategy Games Using Network Motifs.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Neural-Based Learning Classifier Systems.
IEEE Trans. Knowl. Data Eng., 2008

ATOMS: Air Traffic Operations and Management Simulator.
IEEE Trans. Intell. Transp. Syst., 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

Strategic positioning in tactical scenario planning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Computational scenario-based capability planning.
Proceedings of the Genetic and Evolutionary Computation Conference, 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
Evolutionary Online Data Mining: An Investigation in a Dynamic Environment.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities.
Proceedings of the Evolutionary Scheduling, 2007

Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection.
Inf. Secur. Tech. Rep., 2007

Biasing XCS with Domain Knowledge for Planning Flight Trajectories in a Moving Sector Free Flight Environment.
Proceedings of the First IEEE Symposium on Artificial Life, 2007

A Temporal Risk Assessment Framework for Planning A Future Force Structure.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, 2007

Improving the Performance of Genetic Algorithm in Capacitated Vehicle Routing Problem using Self Imposed Constraints.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

Information Sharing in the Iterated Prisoner's Dilemma Game.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 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

Real time signature extraction from a supervised classifier system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A new local search algorithm for continuous spaces based on army ant swarm raids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Investigating alliance dynamics using a co-evolutionary iterated prisoner's dilemma with an exit option.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

The critical point when prisoners meet the minority: local and global dynamics in mixed evolutionary games.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Rounds Effect in Evolutionary Games.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

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

Ants Guide Future Pilots.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006
A Survey of Probabilistic Model Building Genetic Programming.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Pareto-Optimal Approaches to Neuro-Ensemble Learning.
Proceedings of the Multi-Objective Machine Learning, 2006

Characterizing Warfare in Red Teaming.
IEEE Trans. Syst. Man Cybern. Part B, 2006

An economical cognitive approach for bi-objective optimization using bliss points, visualization, and interaction.
Soft Comput., 2006

A novel mixture of experts model based on cooperative coevolution.
Neurocomputing, 2006

Land Combat Scenario Planning: A Multiobjective Approach.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

The Role of Early Stopping and Population Size in XCS for Intrusion Detection.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 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

Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Multiobjectivity and Complexity in Embodied Cognition.
IEEE Trans. Evol. Comput., 2005

Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments
CoRR, 2005

Stopping criteria for ensemble of evolutionary artificial neural networks.
Appl. Soft Comput., 2005

Artificial Life Down Under.
Artif. Life, 2005

WISDOM-II: A Network Centric Model for Warfare.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Evolving agents for network centric warfare.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Sub-structural niching in estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Be real! XCS with continuous-valued inputs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

DXCS: an XCS system for distributed data mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 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

A Multi-agent Simulation Study for Supply Chain Operation.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

The performance of the DXCS system on continuous-valued inputs in stationary and dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

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

Can Evolutionary Computation Handle Large Datasets? A Study into Network Intrusion Detection.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Chapter 25 Evolving Capability Requirements in WISDOM-II.
Proceedings of the Recent Advances in Artificial Life, 2005

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

Chapter 2 Neural Evolution for Collision Detection & Resolution in a 2D Free Flight Environment.
Proceedings of the Recent Advances in Artificial Life, 2005

2004
An information-theoretic landscape analysis of neuro-controlled embodied organisms.
Neural Comput. Appl., 2004

Automatic Generation of Controllers for Embodied Legged Organisms: A Pareto Evolutionary Multi-Objective Approach.
Evol. Comput., 2004

Classification Rule Discovery with Ant Colony Optimization.
IEEE Intell. Informatics Bull., 2004

Differential Evolution for Solving multiobjective Optimization Problems.
Asia Pac. J. Oper. Res., 2004

An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and Interaction.
Proceedings of the Parallel Problem Solving from Nature, 2004

Toward an Alternative Comparison between Different Genetic Programming Systems.
Proceedings of the Genetic Programming, 7th European Conference, 2004

Grammar model-based program evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Landscape Dynamics in Multi-agent Simulation Combat Systems.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Sub-structural Niching in Non-stationary Environments.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms.
Neural Comput., 2003

A True Annealing Approach to the Marriage in Honey-Bees Optimization Algorithm.
Int. J. Comput. Intell. Appl., 2003

Artificial Life: An Introduction.
Int. J. Comput. Intell. Appl., 2003

Stopping Criteria for Ensembles of Evolutionary Artificial Neural Networks.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Multi-objectivity as a Tool for Constructing Hierarchical Complexity.
Proceedings of the Genetic and Evolutionary Computation, 2003

Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots?
Proceedings of the Genetic and Evolutionary Computation, 2003

Tree Adjoining Grammars, Language Bias, and Genetic Programming.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

Searching under Multi-evolutionary Pressures.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Elucidating the benefits of a self-adaptive Pareto EMO approach for evolving legged locomotion in artificial creatures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Program evolution with explicit learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Improving genetic classifiers with a boosting algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

The discrete gradient evolutionary strategy method for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Pareto neuro-evolution: constructing ensemble of neural networks using multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Software Verification of Redundancy in Neuro-Evolutionary Robotics.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Pareto Neuro-Ensembles.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

A Comparative Study for Domain Ontology Guided Feature Extraction.
Proceedings of the Computer Science 2003, 2003

2002
Computational intelligence techniques for decision making: with applications to the dairy industry.
PhD thesis, 2002

The Pareto Differential Evolution Algorithm.
Int. J. Artif. Intell. Tools, 2002

An evolutionary artificial neural networks approach for breast cancer diagnosis.
Artif. Intell. Medicine, 2002

Evolutionary Multi-objective Robotics: Evolving a Physically Simulated quadruped using the PDE Algorithm.
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

AntTAG: a new method to compose computer programs using colonies of ants.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

The self-adaptive Pareto differential evolution algorithm.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees.
Knowl. Inf. Syst., 2001

PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

MBO: marriage in honey bees optimization-a Haplometrosis polygynous swarming approach.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

A Memetic Pareto Evolutionary Approach to Artificial Neural Networks.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

1999
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999


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