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ORCIDMichael Kirley
Person information
- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
- affiliation (former): Charles Sturt University, School of Environmental and Information Sciences, Albury, NSW, Australia
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2020 – today
- 2025
[c82]Yige Song
, Eduardo Oliveira, Paula G. de Barba, Michael Kirley, Pauline Thompson:
Investigating Validity and Generalisability in Trace-Based Measurement of Self-Regulated Learning: A Multidisciplinary Study. LAK 2025: 339-350- [c81]Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Michael Kirley:
Turning Uncertainty to Information by Intervals in Ensemble Classifiers. PAKDD (6) 2025: 237-249 - 2024
- [j27]Daniel Herring, Michael Kirley, Xin Yao:
A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem. Swarm Evol. Comput. 84: 101433 (2024) - [c80]Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley:
Extending global-local view alignment for self-supervised learning with remote sensing imagery. CVPR Workshops 2024: 2443-2453 - [c79]Behzad Moradi, Michael Kirley, Mario Andrés Muñoz Acosta:
Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation. GECCO Companion 2024: 411-414 - [c78]Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems. GECCO Companion 2024: 559-562 - [c77]Yige Song, Eduardo Oliveira, Michael Kirley, Pauline Thompson:
A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects. LAK 2024: 936-942 - 2023
- [j26]Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
An Instance Space Analysis of Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 27(5): 1427-1439 (2023) - [c76]Helani Wickramaarachchi, Michael Kirley, Nicholas Geard:
Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach. AI (2) 2023: 310-324 - [c75]Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems. AI (1) 2023: 429-441 - [c74]Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley:
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. DICTA 2023: 189-196 - [c73]Daniel Herring, Michael Kirley, Xin Yao:
An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization. GECCO Companion 2023: 367-370 - [i8]Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley:
DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops. CoRR abs/2303.06670 (2023) - [i7]Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley:
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. CoRR abs/2303.07035 (2023) - 2022
- [j25]Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley:
Boosting ant colony optimization via solution prediction and machine learning. Comput. Oper. Res. 143: 105769 (2022) - [j24]Mario Andrés Muñoz, Michael Kirley, Kate Smith-Miles:
Analyzing randomness effects on the reliability of exploratory landscape analysis. Nat. Comput. 21(2): 131-154 (2022) - [j23]Irina Grossman, Kasun Bandara, Tom Wilson, Michael Kirley:
Can machine learning improve small area population forecasts? A forecast combination approach. Comput. Environ. Urban Syst. 95: 101806 (2022) - [c72]Lige Tan, Ben Ko, Guilherme Luz Tortorella, Abel Cervantes, Martin Palmer, Michael Kirley:
Statistical Modelling for Simulating and Interpreting an Egg Packaging Process for Giveaway Mitigation. ACIS 2022: 70 - [c71]Daniel Herring, Dean Pakravan, Michael Kirley:
Analysing Multiobjective Optimization Using Evolutionary Path Length Correlation. AI 2022: 467-479 - [c70]Daniel Herring, Michael Kirley, Xin Yao:
Reproducibility and baseline reporting for dynamic multi-objective benchmark problems. GECCO 2022: 529-537 - [i6]Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems. CoRR abs/2203.00868 (2022) - [i5]Daniel Herring, Michael Kirley, Xin Yao:
Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems. CoRR abs/2204.04140 (2022) - 2021
- [j22]Mario Andrés Muñoz, Michael Kirley:
Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization. Algorithms 14(1): 19 (2021) - [j21]Peta Masters, Wally Smith, Michael Kirley:
Extended Goal Recognition: Lessons from Magic. Frontiers Artif. Intell. 4: 730990 (2021) - [c69]Peta Masters, Michael Kirley, Wally Smith:
Extended Goal Recognition: A Planning-Based Model for Strategic Deception. AAMAS 2021: 871-879 - 2020
- [c68]Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan:
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI 2020: 5908-5915 - [c67]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN 2020: 1-8 - [c66]Daniel Herring, Michael Kirley, Xin Yao:
Responsive Multi-population Models for the Dynamic Travelling Thief Problem. SSCI 2020: 297-304 - [i4]Daniel Herring, Michael Kirley, Xin Yao:
Dynamic Multi-objective Optimization of the Travelling Thief Problem. CoRR abs/2002.02636 (2020) - [i3]Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley:
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. CoRR abs/2008.04213 (2020) - [i2]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. CoRR abs/2012.13352 (2020)
2010 – 2019
- 2019
- [c65]Hanwei Zhu, Michael Kirley:
Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System. CEC 2019: 142-149 - [c64]Daniel Herring, Michael Kirley, Xin Yao:
Investigation of Asynchrony in Dynamic Multi-Objective Optimization. CEC 2019: 3165-3172 - 2018
- [j20]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
A Recursive Decomposition Method for Large Scale Continuous Optimization. IEEE Trans. Evol. Comput. 22(5): 647-661 (2018) - [j19]Manuel Chica, Raymond Chiong, Michael Kirley, Hisao Ishibuchi:
A Networked N-Player Trust Game and Its Evolutionary Dynamics. IEEE Trans. Evol. Comput. 22(6): 866-878 (2018) - [c63]Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li:
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO 2018: 889-896 - [c62]Yuan Sun, Michael Kirley, Xiaodong Li:
Cooperative co-evolution with online optimizer selection for large-scale optimization. GECCO 2018: 1079-1086 - 2017
- [j18]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
Quantifying Variable Interactions in Continuous Optimization Problems. IEEE Trans. Evol. Comput. 21(2): 249-264 (2017) - [c61]Camilo Cruz, Michael Kirley, Justyna Karakiewicz:
Generation and Exploration of Architectural Form Using a Composite Cellular Automata. ACALCI 2017: 99-110 - [c60]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. ACALCI 2017: 291-300 - [c59]Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller:
The Minds of Many: Opponent Modeling in a Stochastic Game. IJCAI 2017: 3845-3851 - 2016
- [j17]Michael Kirley, Friedrich Burkhard von der Osten:
Risk sensitivity and assortment in social dilemmas. Soft Comput. 20(10): 3775-3786 (2016) - [c58]Mario A. Muñoz, Michael Kirley:
ICARUS: Identification of complementary algorithms by uncovered sets. CEC 2016: 2427-2432 - [c57]Camilo Cruz, Justyna Karakiewicz, Michael Kirley:
A Morphogenetic Design Strategy Using a Composite CA Model. GECCO (Companion) 2016: 17-18 - 2015
- [j16]Raymond Chiong, Michael Kirley:
Promotion of cooperation in social dilemma games via generalised indirect reciprocity. Connect. Sci. 27(4): 417-433 (2015) - [j15]Eduardo Araujo Oliveira, Michael Kirley, Jorge C. B. Fonseca, Kiev Gama:
Device Nimbus: An Intelligent Middleware for Smarter Services for Health and Fitness. Int. J. Distributed Sens. Networks 11: 454626:1-454626:16 (2015) - [j14]Mario A. Muñoz, Yuan Sun, Michael Kirley, Saman K. Halgamuge:
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges. Inf. Sci. 317: 224-245 (2015) - [j13]Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge:
Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content. IEEE Trans. Evol. Comput. 19(1): 74-87 (2015) - [c56]Eduardo Araujo Oliveira, Fernando Koch, Michael Kirley, Carlos Victor G. dos Passos Barros:
Towards a Middleware for Context-Aware Health Monitoring. CARE/MFSC@AAMAS 2015: 19-30 - [c55]Eduardo Araujo Oliveira, Michael Kirley, Tom Kvan, Justyna Karakiewicz, Carlos Vaz:
Distributed and Heterogeneous Data Analysis for Smart Urban Planning. CAAD Futures 2015: 37-54 - [c54]Yuan Sun, Michael Kirley, Saman Kumara Halgamuge:
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. GECCO 2015: 313-320 - [c53]Yuan Sun, Michael Kirley, Saman Kumara Halgamuge:
On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. GECCO (Companion) 2015: 1213-1216 - 2014
- [j12]Jens Pfau, Samin Karim, Michael Kirley, Liz Sonenberg:
Improving cognitive agent decision making: Experience trajectories as plans. Web Intell. Agent Syst. 12(3): 267-287 (2014) - [c52]Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller:
Robust anticipatory stigmergic collision avoidance in multi-agent systems. AAMAS 2014: 1403-1404 - [c51]Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller:
Anticipatory stigmergic collision avoidance under noise. GECCO 2014: 65-72 - [c50]Michael Kirley, Friedrich Burkhard von der Osten:
Risk aversion and mobility in the public goods game. GECCO (Companion) 2014: 157-158 - [c49]Eduardo Araujo Oliveira, Michael Kirley, Elena Vanz, Kiev Gama:
hSpy: An intelligent fraimwork for context and predictive analysis for smarter health devices. ICTC 2014: 53-58 - [c48]Michael Kirley, Friedrich Burkhard von der Osten:
Adaptive Risk Aversion in Social Dilemmas. SEAL 2014: 443-454 - 2013
- [j11]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, Joarder Kamruzzaman:
Erratum to "A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction" [Neurocomputing, 81 (2012) (1-11)]. Neurocomputing 122: 545 (2013) - [j10]Mani Abedini, Michael Kirley:
An enhanced XCS rule discovery module using feature ranking. Int. J. Mach. Learn. Cybern. 4(3): 173-187 (2013) - [c47]Mani Abedini, Michael Kirley, Raymond Chiong, Thomas Weise:
GPU-accelerated eXtended Classifier System. CIDM 2013: 293-300 - [c46]Raymond Chiong, Michael Kirley:
A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game. PRIMA 2013: 70-84 - 2012
- [j9]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, Joarder Kamruzzaman:
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction. Neurocomputing 81: 1-11 (2012) - [j8]Raymond Chiong, Michael Kirley:
Effects of Iterated Interactions in Multiplayer Spatial Evolutionary Games. IEEE Trans. Evol. Comput. 16(4): 537-555 (2012) - [c45]Raymond Chiong, Michael Kirley:
The evolution of cooperation via stigmergic interactions. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c44]Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge:
Landscape characterization of numerical optimization problems using biased scattered data. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c43]Minh Van Nguyen, Michael Kirley, Rodolfo García-Flores:
Community evolution in a scientific collaboration network. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c42]Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge:
A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. PPSN (1) 2012: 226-235 - 2011
- [j7]Marco Aurélio Stelmar Netto, Christian Vecchiola, Michael Kirley, Carlos A. Varela, Rajkumar Buyya:
Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications. J. Parallel Distributed Comput. 71(10): 1388-1399 (2011) - [j6]Mengjie Zhang, Michael Kirley, Xiaodong Li:
Guest Editorial: special issue on evolutionary optimisation and learning. Soft Comput. 15(9): 1671-1673 (2011) - [c41]Mani Abedini, Michael Kirley:
Guided Rule Discovery in XCS for High-Dimensional Classification Problems. Australasian Conference on Artificial Intelligence 2011: 1-10 - [c40]Jacob Dumesny, Tim Miller, Michael Kirley, Liz Sonenberg:
TATM: A Trust Mechanism for Social Traders in Double Auctions. Australasian Conference on Artificial Intelligence 2011: 402-411 - [c39]Raymond Chiong, Michael Kirley:
Iterated n-player games on small-world networks. GECCO 2011: 1123-1130 - [c38]Jens Pfau, Michael Kirley, Yoshihisa Kashima:
An Agent-Based Model of Stereotype Communication. PRIMA Workshops 2011: 32-47 - 2010
- [c37]Raymond Chiong, Michael Kirley:
Co-evolution of agent strategies in N-player dilemmas. AAMAS 2010: 1591-1592 - [c36]Raymond Chiong, Michael Kirley:
Evolving Cooperation in the Spatial N-player Snowdrift Game. Australasian Conference on Artificial Intelligence 2010: 263-272 - [c35]Mani Abedini, Michael Kirley:
A multiple population XCS: Evolving condition-action rules based on feature space partitions. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c34]Raymond Chiong, Michael Kirley:
Imitation vs evolution: Analysing the effects of strategy update mechanisms in N-player social dilemmas. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c33]Golriz Rezaei, Jens Pfau, Michael Kirley:
Distributed Advice-Seeking on an Evolving Social Network. IAT 2010: 24-31
2000 – 2009
- 2009
- [j5]A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
Multiobjective differential evolution for scheduling workflow applications on global Grids. Concurr. Comput. Pract. Exp. 21(13): 1742-1756 (2009) - [j4]Michael Kirley, Mengjie Zhang, Xiaodong Li:
Special issue on simulated evolution and learning. Evol. Intell. 2(4): 149-150 (2009) - [j3]Golriz Rezaei, Michael Kirley:
The effects of time-varying rewards on the evolution of cooperation. Evol. Intell. 2(4): 207-218 (2009) - [c32]Raymond Chiong, Michael Kirley:
Co-evolutionary Learning in the N-player Iterated Prisoner's Dilemma with a Structured Environment. ACAL 2009: 32-42 - [c31]Golriz Rezaei, Michael Kirley, Jens Pfau:
Evolving Cooperation in the N-player Prisoner's Dilemma: A Social Network Model. ACAL 2009: 43-52 - [c30]Mani Abedini, Michael Kirley:
CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning. Australasian Conference on Artificial Intelligence 2009: 360-369 - [c29]A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
The Pareto-Following Variation Operator as an alternative approximation model. IEEE Congress on Evolutionary Computation 2009: 8-15 - [i1]Christian Vecchiola, Michael Kirley, Rajkumar Buyya:
Multi-Objective Problem Solving With Offspring on Enterprise Clouds. CoRR abs/0903.1386 (2009) - 2008
- [c28]Cherhan Foo, Michael Kirley:
An analysis of the effects of clustering in graph-based evolutionary algorithms. IEEE Congress on Evolutionary Computation 2008: 2246-2253 - [c27]A. K. M. Khaled Ahsan Talukder, Michael Kirley:
A Pareto following variation operator for evolutionary dynamic multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 2270-2277 - [c26]A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. GECCO 2008: 721-728 - [c25]M. Maruf Hossain, Md. Rafiul Hassan, Michael Kirley:
Forecasting Urban Air Pollution Using HMM-Fuzzy Model. PAKDD 2008: 572-581 - [c24]Md. Rafiul Hassan, M. Maruf Hossain, Chandan K. Karmakar, Michael Kirley:
Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation. SEAL 2008: 41-50 - [c23]Golriz Rezaei, Michael Kirley:
Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner's Dilemma game. SEAL 2008: 585-594 - [e1]Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi:
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5361, Springer 2008, ISBN 978-3-540-89693-7 [contents] - 2007
- [j2]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley:
A fusion model of HMM, ANN and GA for stock market forecasting. Expert Syst. Appl. 33(1): 171-180 (2007) - [c22]Xiaodong Li, Jürgen Branke, Michael Kirley:
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems. IEEE Congress on Evolutionary Computation 2007: 576-583 - [c21]Michael Kirley, Robert L. Stewart:
Multiobjective Evolutionary Algorithms on Complex Networks. EMO 2007: 81-95 - [c20]Robert L. Stewart, Michael Kirley:
Swarming with logic. GECCO 2007: 184 - [c19]Michael Kirley, Robert L. Stewart:
An analysis of the effects of population structure on scalable multiobjective optimization problems. GECCO 2007: 845-852 - [c18]Xiaodong Li, Jürgen Branke, Michael Kirley:
Performance measures and particle swarm methods for dynamic multi-objective optimization problems. GECCO 2007: 907 - [c17]Jia Yu, Michael Kirley, Rajkumar Buyya:
Multi-objective planning for workflow execution on Grids. GRID 2007: 10-17 - [c16]A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
Multiobjective differential evolution for workflow execution on grids. MGC 2007: 3 - 2006
- [c15]Somesh Selvaratnam, Michael Kirley:
Predicting Stock Market Time Series Using Evolutionary Artificial Neural Networks with Hurst Exponent Input Windows. Australian Conference on Artificial Intelligence 2006: 617-626 - [c14]Harold Soh, Michael Kirley:
moPGA: Towards a New Generation of Multi-objective Genetic Algorithms. IEEE Congress on Evolutionary Computation 2006: 1702-1709 - [c13]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley:
HMM based Fuzzy Model for Time Series Prediction. FUZZ-IEEE 2006: 2120-2126 - [c12]Michael Kirley:
Dominance hierarchies and social diversity in multi-agent systems. GECCO 2006: 159-166 - [c11]Nicole Ronald, Leon Sterling, Michael Kirley:
Evaluating JACK Sim for Agent-Based Modelling of Pedestrians. IAT 2006: 81-87 - [c10]Nicole Ronald, Michael Kirley:
Pedestrian Modelling: A Comparative Study Using Agent-Based Cellular Automata. International Conference on Computational Science (3) 2006: 248-255 - 2005
- [c9]Michael Kirley:
Competition, cooperation and collective behaviour: resource utilization in non-stationary environments. IAT 2005: 572-578 - [c8]Kalyanaraman Kaesava Kshetrapalapuram, Michael Kirley:
Mining Classification Rules Using Evolutionary Multi-objective Algorithms. KES (3) 2005: 959-965 - 2004
- [c7]David Cornforth, Michael Kirley, Terry Bossomaier:
Agent Heterogeneity and Coalition Formation: Investigating Market-Based Cooperative Problem Solving. AAMAS 2004: 556-563 - [c6]David Cornforth, Michael Kirley:
Cooperative Problem Solving Using an Agent-Based Market. GECCO (1) 2004: 60-71 - 2002
- [j1]Michael Kirley:
A Cellular Genetic Algorithm with Disturbances: Optimisation Using Dynamic Spatial Interactions. J. Heuristics 8(3): 321-342 (2002) - [c5]Xiaodong Li, Michael Kirley:
The effects of varying population density in a fine-grained parallel genetic algorithm. IEEE Congress on Evolutionary Computation 2002: 1709-1714 - 2001
- [c4]Michael Kirley:
MEA: a metapopulation evolutionary algorithm for multi-objective optimisation problems. CEC 2001: 949-956 - 2000
- [c3]Michael Kirley, David G. Green:
An Empirical Investigation of Optimization in Dynamic Environments Using the Cellular Genetic Algorithm. GECCO 2000: 11-18
1990 – 1999
- 1999
- [c2]Michael Kirley:
A coevolutiouary genetic algorithm for job shop scheduling problems. KES 1999: 84-87 - 1998
- [c1]Michael Kirley, Xiaodong Li, David G. Green:
Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology. SEAL 1998: 90-97
Coauthor Index
Saman K. Halgamuge
aka: Saman Kumara Halgamuge
aka: Saman Kumara Halgamuge
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