Michael Kirley

Orcid: 0000-0002-6030-858X

Affiliations:
  • University of Melbourne, School of Computing and Information Systems, Australia
  • Charles Sturt University, School of Environmental and Information Sciences, Albury, NSW, Australia (former)


According to our database1, Michael Kirley authored at least 111 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem.
Swarm Evol. Comput., February, 2024

A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Extending global-local view alignment for self-supervised learning with remote sensing imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
An Instance Space Analysis of Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., October, 2023

DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops.
CoRR, 2023

An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Can machine learning improve small area population forecasts? A forecast combination approach.
Comput. Environ. Urban Syst., 2022

Analyzing randomness effects on the reliability of exploratory landscape analysis.
Nat. Comput., 2022

An Instance Space Analysis of Constrained Multi-Objective Optimization Problems.
CoRR, 2022

Boosting ant colony optimization via solution prediction and machine learning.
Comput. Oper. Res., 2022

Reproducibility and baseline reporting for dynamic multi-objective benchmark problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Analysing Multiobjective Optimization Using Evolutionary Path Length Correlation.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Statistical Modelling for Simulating and Interpreting an Egg Packaging Process for Giveaway Mitigation.
Proceedings of the Australasian Conference on Information Systems, 2022

2021
Extended Goal Recognition: Lessons from Magic.
Frontiers Artif. Intell., 2021

Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization.
Algorithms, 2021

Extended Goal Recognition: A Planning-Based Model for Strategic Deception.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Dynamic Multi-objective Optimization of the Travelling Thief Problem.
CoRR, 2020

Responsive Multi-population Models for the Dynamic Travelling Thief Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Machine learning with incomplete datasets using multi-objective optimization models.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Investigation of Asynchrony in Dynamic Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Recursive Decomposition Method for Large Scale Continuous Optimization.
IEEE Trans. Evol. Comput., 2018

A Networked N-Player Trust Game and Its Evolutionary Dynamics.
IEEE Trans. Evol. Comput., 2018

Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Cooperative co-evolution with online optimizer selection for large-scale optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Quantifying Variable Interactions in Continuous Optimization Problems.
IEEE Trans. Evol. Comput., 2017

The Minds of Many: Opponent Modeling in a Stochastic Game.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization.
Proceedings of the Artificial Life and Computational Intelligence, 2017

Generation and Exploration of Architectural Form Using a Composite Cellular Automata.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Risk sensitivity and assortment in social dilemmas.
Soft Comput., 2016

A Morphogenetic Design Strategy Using a Composite CA Model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

ICARUS: Identification of complementary algorithms by uncovered sets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content.
IEEE Trans. Evol. Comput., 2015

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges.
Inf. Sci., 2015

Device Nimbus: An Intelligent Middleware for Smarter Services for Health and Fitness.
Int. J. Distributed Sens. Networks, 2015

Promotion of cooperation in social dilemma games via generalised indirect reciprocity.
Connect. Sci., 2015

On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Distributed and Heterogeneous Data Analysis for Smart Urban Planning.
Proceedings of the Computer-Aided Architectural Design. The Next City - New Technologies and the Future of the Built Environment, 2015

Towards a Middleware for Context-Aware Health Monitoring.
Proceedings of the Advances in Social Computing and Multiagent Systems, 2015

2014
Improving cognitive agent decision making: Experience trajectories as plans.
Web Intell. Agent Syst., 2014

Adaptive Risk Aversion in Social Dilemmas.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

hSpy: An intelligent framework for context and predictive analysis for smarter health devices.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2014

Anticipatory stigmergic collision avoidance under noise.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Risk aversion and mobility in the public goods game.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Robust anticipatory stigmergic collision avoidance in multi-agent systems.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
An enhanced XCS rule discovery module using feature ranking.
Int. J. Mach. Learn. Cybern., 2013

Erratum to "A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction" [Neurocomputing, 81 (2012) (1-11)].
Neurocomputing, 2013

A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game.
Proceedings of the PRIMA 2013: Principles and Practice of Multi-Agent Systems, 2013

GPU-accelerated eXtended Classifier System.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Effects of Iterated Interactions in Multiplayer Spatial Evolutionary Games.
IEEE Trans. Evol. Comput., 2012

A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction.
Neurocomputing, 2012

A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Community evolution in a scientific collaboration network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Landscape characterization of numerical optimization problems using biased scattered data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

The evolution of cooperation via stigmergic interactions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Guest Editorial: special issue on evolutionary optimisation and learning.
Soft Comput., 2011

Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications.
J. Parallel Distributed Comput., 2011

An Agent-Based Model of Stereotype Communication.
Proceedings of the Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing, 2011

Iterated n-player games on small-world networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

TATM: A Trust Mechanism for Social Traders in Double Auctions.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Guided Rule Discovery in XCS for High-Dimensional Classification Problems.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Distributed Advice-Seeking on an Evolving Social Network.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

Imitation vs evolution: Analysing the effects of strategy update mechanisms in N-player social dilemmas.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A multiple population XCS: Evolving condition-action rules based on feature space partitions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolving Cooperation in the Spatial N-player Snowdrift Game.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Co-evolution of agent strategies in N-player dilemmas.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
The effects of time-varying rewards on the evolution of cooperation.
Evol. Intell., 2009

Special issue on simulated evolution and learning.
Evol. Intell., 2009

Multi-Objective Problem Solving With Offspring on Enterprise Clouds
CoRR, 2009

Multiobjective differential evolution for scheduling workflow applications on global Grids.
Concurr. Comput. Pract. Exp., 2009

The Pareto-Following Variation Operator as an alternative approximation model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Evolving Cooperation in the N-player Prisoner's Dilemma: A Social Network Model.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

Co-evolutionary Learning in the N-player Iterated Prisoner's Dilemma with a Structured Environment.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008
Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner's Dilemma game.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Forecasting Urban Air Pollution Using HMM-Fuzzy Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A pareto following variation operator for fast-converging multiobjective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

A Pareto following variation operator for evolutionary dynamic multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An analysis of the effects of clustering in graph-based evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A fusion model of HMM, ANN and GA for stock market forecasting.
Expert Syst. Appl., 2007

Multiobjective differential evolution for workflow execution on grids.
Proceedings of the 5th International Workshop on Middleware for Grid Computing (MGC 2007), 2007

Multi-objective planning for workflow execution on Grids.
Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (GRID 2007), 2007

Swarming with logic.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Performance measures and particle swarm methods for dynamic multi-objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

An analysis of the effects of population structure on scalable multiobjective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Multiobjective Evolutionary Algorithms on Complex Networks.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

On performance metrics and particle swarm methods for dynamic multiobjective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Pedestrian Modelling: A Comparative Study Using Agent-Based Cellular Automata.
Proceedings of the Computational Science, 2006

Evaluating JACK Sim for Agent-Based Modelling of Pedestrians.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

Dominance hierarchies and social diversity in multi-agent systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

HMM based Fuzzy Model for Time Series Prediction.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

moPGA: Towards a New Generation of Multi-objective Genetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Predicting Stock Market Time Series Using Evolutionary Artificial Neural Networks with Hurst Exponent Input Windows.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Mining Classification Rules Using Evolutionary Multi-objective Algorithms.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Competition, cooperation and collective behaviour: resource utilization in non-stationary environments.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

2004
Cooperative Problem Solving Using an Agent-Based Market.
Proceedings of the Genetic and Evolutionary Computation, 2004

Agent Heterogeneity and Coalition Formation: Investigating Market-Based Cooperative Problem Solving.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2002
A Cellular Genetic Algorithm with Disturbances: Optimisation Using Dynamic Spatial Interactions.
J. Heuristics, 2002

The effects of varying population density in a fine-grained parallel genetic algorithm.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
MEA: a metapopulation evolutionary algorithm for multi-objective optimisation problems.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
An Empirical Investigation of Optimization in Dynamic Environments Using the Cellular Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
A coevolutiouary genetic algorithm for job shop scheduling problems.
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

1998
Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology.
Proceedings of the Simulated Evolution and Learning, 1998


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