Michael Kirley

118 papers A* 2A 18B 20C 2Misc 3Journal 35Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Investigating Validity and Generalisability in Trace-Based Measurement of Self-Regulated Learning: A Multidisciplinary Study. LAK Yige Song, Eduardo Oliveira, Paula G. de Barba, Michael Kirley, Pauline Thompson
2025	—	`conf`	Turning Uncertainty to Information by Intervals in Ensemble Classifiers. PAKDD (6) Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Michael Kirley
2024	A	`conf`	A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects. LAK Yige Song, Eduardo Oliveira, Michael Kirley, Pauline Thompson
2024	J	`jnl`	A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem. Swarm Evol. Comput. Daniel Herring, Michael Kirley, Xin Yao
2024	—	`conf`	Extending global-local view alignment for self-supervised learning with remote sensing imagery. CVPR Workshops Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley
2024	—	`conf`	Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems. GECCO Companion Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
2024	—	`conf`	Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation. GECCO Companion Behzad Moradi, Michael Kirley, Mario Andrés Muñoz Acosta
2023	J	`jnl`	An Instance Space Analysis of Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
2023	—	`conf`	An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization. GECCO Companion Daniel Herring, Michael Kirley, Xin Yao
2023	—	`conf`	Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach. AI (2) Helani Wickramaarachchi, Michael Kirley, Nicholas Geard
2023	J	`jnl`	DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops. CoRR Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley
2023	—	`conf`	Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems. AI (1) Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
2023	Misc	`conf`	FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. DICTA Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley
2023	J	`jnl`	FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. CoRR Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley
2022	J	`jnl`	An Instance Space Analysis of Constrained Multi-Objective Optimization Problems. CoRR Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
2022	Misc	`conf`	Analysing Multiobjective Optimization Using Evolutionary Path Length Correlation. AI Daniel Herring, Dean Pakravan, Michael Kirley
2022	J	`jnl`	Analyzing randomness effects on the reliability of exploratory landscape analysis. Nat. Comput. Mario Andrés Muñoz, Michael Kirley, Kate Smith-Miles
2022	J	`jnl`	Boosting ant colony optimization via solution prediction and machine learning. Comput. Oper. Res. Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
2022	J	`jnl`	Can machine learning improve small area population forecasts? A forecast combination approach. Comput. Environ. Urban Syst. Irina Grossman, Kasun Bandara, Tom Wilson, Michael Kirley
2022	J	`jnl`	Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems. CoRR Daniel Herring, Michael Kirley, Xin Yao
2022	A	`conf`	Reproducibility and baseline reporting for dynamic multi-objective benchmark problems. GECCO Daniel Herring, Michael Kirley, Xin Yao
2022	—	`conf`	Statistical Modelling for Simulating and Interpreting an Egg Packaging Process for Giveaway Mitigation. ACIS Lige Tan, Ben Ko, Guilherme Luz Tortorella, Abel Cervantes, Martin Palmer, Michael Kirley
2021	A	`conf`	Extended Goal Recognition: A Planning-Based Model for Strategic Deception. AAMAS Peta Masters, Michael Kirley, Wally Smith
2021	J	`jnl`	Extended Goal Recognition: Lessons from Magic. Frontiers Artif. Intell. Peta Masters, Wally Smith, Michael Kirley
2021	J	`jnl`	Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization. Algorithms Mario Andrés Muñoz, Michael Kirley
2020	J	`jnl`	Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. CoRR Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
2020	J	`jnl`	Dynamic Multi-objective Optimization of the Travelling Thief Problem. CoRR Daniel Herring, Michael Kirley, Xin Yao
2020	B	`conf`	Machine learning with incomplete datasets using multi-objective optimization models. IJCNN Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
2020	J	`jnl`	Machine learning with incomplete datasets using multi-objective optimization models. CoRR Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
2020	—	`conf`	Responsive Multi-population Models for the Dynamic Travelling Thief Problem. SSCI Daniel Herring, Michael Kirley, Xin Yao
2020	A*	`conf`	Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan
2019	B	`conf`	Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System. CEC Hanwei Zhu, Michael Kirley
2019	B	`conf`	Investigation of Asynchrony in Dynamic Multi-Objective Optimization. CEC Daniel Herring, Michael Kirley, Xin Yao
2018	J	`jnl`	A Networked N-Player Trust Game and Its Evolutionary Dynamics. IEEE Trans. Evol. Comput. Manuel Chica, Raymond Chiong, Michael Kirley, Hisao Ishibuchi
2018	J	`jnl`	A Recursive Decomposition Method for Large Scale Continuous Optimization. IEEE Trans. Evol. Comput. Yuan Sun, Michael Kirley, Saman K. Halgamuge
2018	A	`conf`	Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li
2018	A	`conf`	Cooperative co-evolution with online optimizer selection for large-scale optimization. GECCO Yuan Sun, Michael Kirley, Xiaodong Li
2017	—	`conf`	A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. ACALCI Yuan Sun, Michael Kirley, Saman K. Halgamuge
2017	—	`conf`	Generation and Exploration of Architectural Form Using a Composite Cellular Automata. ACALCI Camilo Cruz, Michael Kirley, Justyna Karakiewicz
2017	J	`jnl`	Quantifying Variable Interactions in Continuous Optimization Problems. IEEE Trans. Evol. Comput. Yuan Sun, Michael Kirley, Saman K. Halgamuge
2017	A*	`conf`	The Minds of Many: Opponent Modeling in a Stochastic Game. IJCAI Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller
2016	—	`conf`	A Morphogenetic Design Strategy Using a Composite CA Model. GECCO (Companion) Camilo Cruz, Justyna Karakiewicz, Michael Kirley
2016	B	`conf`	ICARUS: Identification of complementary algorithms by uncovered sets. CEC Mario A. Muñoz, Michael Kirley
2016	J	`jnl`	Risk sensitivity and assortment in social dilemmas. Soft Comput. Michael Kirley, Friedrich Burkhard von der Osten
2015	J	`jnl`	Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges. Inf. Sci. Mario A. Muñoz, Yuan Sun, Michael Kirley, Saman K. Halgamuge
2015	J	`jnl`	Device Nimbus: An Intelligent Middleware for Smarter Services for Health and Fitness. Int. J. Distributed Sens. Networks Eduardo Araujo Oliveira, Michael Kirley, Jorge C. B. Fonseca, Kiev Gama
2015	—	`conf`	Distributed and Heterogeneous Data Analysis for Smart Urban Planning. CAAD Futures Eduardo Araujo Oliveira, Michael Kirley, Tom Kvan, Justyna Karakiewicz, Carlos Vaz
2015	J	`jnl`	Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content. IEEE Trans. Evol. Comput. Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
2015	A	`conf`	Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. GECCO Yuan Sun, Michael Kirley, Saman Kumara Halgamuge
2015	—	`conf`	On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. GECCO (Companion) Yuan Sun, Michael Kirley, Saman Kumara Halgamuge
2015	J	`jnl`	Promotion of cooperation in social dilemma games via generalised indirect reciprocity. Connect. Sci. Raymond Chiong, Michael Kirley
2015	—	`conf`	Towards a Middleware for Context-Aware Health Monitoring. CARE/MFSC@AAMAS Eduardo Araujo Oliveira, Fernando Koch, Michael Kirley, Carlos Victor G. dos Passos Barros
2014	—	`conf`	Adaptive Risk Aversion in Social Dilemmas. SEAL Michael Kirley, Friedrich Burkhard von der Osten
2014	A	`conf`	Anticipatory stigmergic collision avoidance under noise. GECCO Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller
2014	J	`jnl`	Improving cognitive agent decision making: Experience trajectories as plans. Web Intell. Agent Syst. Jens Pfau, Samin Karim, Michael Kirley, Liz Sonenberg
2014	—	`conf`	Risk aversion and mobility in the public goods game. GECCO (Companion) Michael Kirley, Friedrich Burkhard von der Osten
2014	A	`conf`	Robust anticipatory stigmergic collision avoidance in multi-agent systems. AAMAS Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller
2014	—	`conf`	hSpy: An intelligent framework for context and predictive analysis for smarter health devices. ICTC Eduardo Araujo Oliveira, Michael Kirley, Elena Vanz, Kiev Gama
2013	B	`conf`	A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game. PRIMA Raymond Chiong, Michael Kirley
2013	J	`jnl`	An enhanced XCS rule discovery module using feature ranking. Int. J. Mach. Learn. Cybern. Mani Abedini, Michael Kirley
2013	J	`jnl`	Erratum to "A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction" [Neurocomputing, 81 (2012) (1-11)]. Neurocomputing Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, Joarder Kamruzzaman
2013	C	`conf`	GPU-accelerated eXtended Classifier System. CIDM Mani Abedini, Michael Kirley, Raymond Chiong, Thomas Weise
2012	—	`conf`	A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. PPSN (1) Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
2012	J	`jnl`	A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction. Neurocomputing Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, Joarder Kamruzzaman
2012	B	`conf`	Community evolution in a scientific collaboration network. IEEE Congress on Evolutionary Computation Minh Van Nguyen, Michael Kirley, Rodolfo García-Flores
2012	J	`jnl`	Effects of Iterated Interactions in Multiplayer Spatial Evolutionary Games. IEEE Trans. Evol. Comput. Raymond Chiong, Michael Kirley
2012	B	`conf`	Landscape characterization of numerical optimization problems using biased scattered data. IEEE Congress on Evolutionary Computation Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
2012	B	`conf`	The evolution of cooperation via stigmergic interactions. IEEE Congress on Evolutionary Computation Raymond Chiong, Michael Kirley
2011	—	`conf`	An Agent-Based Model of Stereotype Communication. PRIMA Workshops Jens Pfau, Michael Kirley, Yoshihisa Kashima
2011	J	`jnl`	Guest Editorial: special issue on evolutionary optimisation and learning. Soft Comput. Mengjie Zhang, Michael Kirley, Xiaodong Li
2011	—	`conf`	Guided Rule Discovery in XCS for High-Dimensional Classification Problems. Australasian Conference on Artificial Intelligence Mani Abedini, Michael Kirley
2011	A	`conf`	Iterated n-player games on small-world networks. GECCO Raymond Chiong, Michael Kirley
2011	—	`conf`	TATM: A Trust Mechanism for Social Traders in Double Auctions. Australasian Conference on Artificial Intelligence Jacob Dumesny, Tim Miller, Michael Kirley, Liz Sonenberg
2011	J	`jnl`	Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications. J. Parallel Distributed Comput. Marco Aurélio Stelmar Netto, Christian Vecchiola, Michael Kirley, Carlos A. Varela, Rajkumar Buyya
2010	B	`conf`	A multiple population XCS: Evolving condition-action rules based on feature space partitions. IEEE Congress on Evolutionary Computation Mani Abedini, Michael Kirley
2010	A	`conf`	Co-evolution of agent strategies in N-player dilemmas. AAMAS Raymond Chiong, Michael Kirley
2010	—	`conf`	Distributed Advice-Seeking on an Evolving Social Network. IAT Golriz Rezaei, Jens Pfau, Michael Kirley
2010	—	`conf`	Evolving Cooperation in the Spatial N-player Snowdrift Game. Australasian Conference on Artificial Intelligence Raymond Chiong, Michael Kirley
2010	B	`conf`	Imitation vs evolution: Analysing the effects of strategy update mechanisms in N-player social dilemmas. IEEE Congress on Evolutionary Computation Raymond Chiong, Michael Kirley
2009	—	`conf`	Co-evolutionary Learning in the N-player Iterated Prisoner's Dilemma with a Structured Environment. ACAL Raymond Chiong, Michael Kirley
2009	—	`conf`	CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning. Australasian Conference on Artificial Intelligence Mani Abedini, Michael Kirley
2009	—	`conf`	Evolving Cooperation in the N-player Prisoner's Dilemma: A Social Network Model. ACAL Golriz Rezaei, Michael Kirley, Jens Pfau
2009	J	`jnl`	Multi-Objective Problem Solving With Offspring on Enterprise Clouds CoRR Christian Vecchiola, Michael Kirley, Rajkumar Buyya
2009	J	`jnl`	Multiobjective differential evolution for scheduling workflow applications on global Grids. Concurr. Comput. Pract. Exp. A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
2009	J	`jnl`	Special issue on simulated evolution and learning. Evol. Intell. Michael Kirley, Mengjie Zhang, Xiaodong Li
2009	B	`conf`	The Pareto-Following Variation Operator as an alternative approximation model. IEEE Congress on Evolutionary Computation A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
2009	J	`jnl`	The effects of time-varying rewards on the evolution of cooperation. Evol. Intell. Golriz Rezaei, Michael Kirley
2008	B	`conf`	A Pareto following variation operator for evolutionary dynamic multi-objective optimization. IEEE Congress on Evolutionary Computation A. K. M. Khaled Ahsan Talukder, Michael Kirley
2008	A	`conf`	A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. GECCO A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
2008	B	`conf`	An analysis of the effects of clustering in graph-based evolutionary algorithms. IEEE Congress on Evolutionary Computation Cherhan Foo, Michael Kirley
2008	B	`conf`	Forecasting Urban Air Pollution Using HMM-Fuzzy Model. PAKDD M. Maruf Hossain, Md. Rafiul Hassan, Michael Kirley
2008	—	`conf`	Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner's Dilemma game. SEAL Golriz Rezaei, Michael Kirley
2008	—	`conf`	Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation. SEAL Md. Rafiul Hassan, M. Maruf Hossain, Chandan K. Karmakar, Michael Kirley
2008	—	`ed.`	Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings SEAL 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
2007	J	`jnl`	A fusion model of HMM, ANN and GA for stock market forecasting. Expert Syst. Appl. Md. Rafiul Hassan, Baikunth Nath, Michael Kirley
2007	A	`conf`	An analysis of the effects of population structure on scalable multiobjective optimization problems. GECCO Michael Kirley, Robert L. Stewart
2007	—	`conf`	Multi-objective planning for workflow execution on Grids. GRID Jia Yu, Michael Kirley, Rajkumar Buyya
2007	C	`conf`	Multiobjective Evolutionary Algorithms on Complex Networks. EMO Michael Kirley, Robert L. Stewart
2007	—	`conf`	Multiobjective differential evolution for workflow execution on grids. MGC A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
2007	B	`conf`	On performance metrics and particle swarm methods for dynamic multiobjective optimization problems. IEEE Congress on Evolutionary Computation Xiaodong Li, Jürgen Branke, Michael Kirley
2007	A	`conf`	Performance measures and particle swarm methods for dynamic multi-objective optimization problems. GECCO Xiaodong Li, Jürgen Branke, Michael Kirley
2007	A	`conf`	Swarming with logic. GECCO Robert L. Stewart, Michael Kirley
2006	A	`conf`	Dominance hierarchies and social diversity in multi-agent systems. GECCO Michael Kirley
2006	—	`conf`	Evaluating JACK Sim for Agent-Based Modelling of Pedestrians. IAT Nicole Ronald, Leon Sterling, Michael Kirley
2006	B	`conf`	HMM based Fuzzy Model for Time Series Prediction. FUZZ-IEEE Md. Rafiul Hassan, Baikunth Nath, Michael Kirley
2006	Misc	`conf`	Pedestrian Modelling: A Comparative Study Using Agent-Based Cellular Automata. International Conference on Computational Science (3) Nicole Ronald, Michael Kirley
2006	—	`conf`	Predicting Stock Market Time Series Using Evolutionary Artificial Neural Networks with Hurst Exponent Input Windows. Australian Conference on Artificial Intelligence Somesh Selvaratnam, Michael Kirley
2006	B	`conf`	moPGA: Towards a New Generation of Multi-objective Genetic Algorithms. IEEE Congress on Evolutionary Computation Harold Soh, Michael Kirley
2005	—	`conf`	Competition, cooperation and collective behaviour: resource utilization in non-stationary environments. IAT Michael Kirley
2005	—	`conf`	Mining Classification Rules Using Evolutionary Multi-objective Algorithms. KES (3) Kalyanaraman Kaesava Kshetrapalapuram, Michael Kirley
2004	A	`conf`	Agent Heterogeneity and Coalition Formation: Investigating Market-Based Cooperative Problem Solving. AAMAS David Cornforth, Michael Kirley, Terry Bossomaier
2004	—	`conf`	Cooperative Problem Solving Using an Agent-Based Market. GECCO (1) David Cornforth, Michael Kirley
2002	J	`jnl`	A Cellular Genetic Algorithm with Disturbances: Optimisation Using Dynamic Spatial Interactions. J. Heuristics Michael Kirley
2002	B	`conf`	The effects of varying population density in a fine-grained parallel genetic algorithm. IEEE Congress on Evolutionary Computation Xiaodong Li, Michael Kirley
2001	B	`conf`	MEA: a metapopulation evolutionary algorithm for multi-objective optimisation problems. CEC Michael Kirley
2000	A	`conf`	An Empirical Investigation of Optimization in Dynamic Environments Using the Cellular Genetic Algorithm. GECCO Michael Kirley, David G. Green
1999	B	`conf`	A coevolutiouary genetic algorithm for job shop scheduling problems. KES Michael Kirley
1998	—	`conf`	Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology. SEAL Michael Kirley, Xiaodong Li, David G. Green