Michael Kirley

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 41

Top Venues

CoRR

GECCO

IEEE Trans. Evol. Comput.

CEC

Publications

Behzad Moradi, Michael Kirley, Mario Andrés Muñoz Acosta
Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation. GECCO Companion (2024)
Yige Song, Eduardo Oliveira, Michael Kirley, Pauline Thompson
A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects. LAK (2024)
Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems. GECCO Companion (2024)
Daniel Herring, Michael Kirley, Xin Yao
A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem. Swarm Evol. Comput. 84 (2024)
Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley
DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops. CoRR (2023)
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 (2023)
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)
Helani Wickramaarachchi, Michael Kirley, Nicholas Geard
Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach. AI (2) (2023)
Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems. AI (1) (2023)
Daniel Herring, Michael Kirley, Xin Yao
An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization. GECCO Companion (2023)
Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
An Instance Space Analysis of Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 27 (5) (2023)
Daniel Herring, Michael Kirley, Xin Yao
Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems. CoRR (2022)
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 (2022)
Daniel Herring, Michael Kirley, Xin Yao
Reproducibility and baseline reporting for dynamic multi-objective benchmark problems. GECCO (2022)
Lige Tan, Ben Ko, Guilherme Tortorella, Abel Cervantes, Martin Palmer, Michael Kirley
Statistical Modelling for Simulating and Interpreting an Egg Packaging Process for Giveaway Mitigation. ACIS (2022)
Daniel Herring, Dean Pakravan, Michael Kirley
Analysing Multiobjective Optimization Using Evolutionary Path Length Correlation. AI (2022)
Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems. CoRR (2022)
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 (2022)
Mario Andrés Muñoz, Michael Kirley, Kate Smith-Miles
Analyzing randomness effects on the reliability of exploratory landscape analysis. Nat. Comput. 21 (2) (2022)
Peta Masters, Wally Smith, Michael Kirley
Extended Goal Recognition: Lessons from Magic. Frontiers Artif. Intell. 4 (2021)
Peta Masters, Michael Kirley, Wally Smith
Extended Goal Recognition: A Planning-Based Model for Strategic Deception. AAMAS (2021)
Mario Andrés Muñoz, Michael Kirley
Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization. Algorithms 14 (1) (2021)
Daniel Herring, Michael Kirley, Xin Yao
Responsive Multi-population Models for the Dynamic Travelling Thief Problem. SSCI (2020)
Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. CoRR (2020)
Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI (2020)
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN (2020)
Daniel Herring, Michael Kirley, Xin Yao
Dynamic Multi-objective Optimization of the Travelling Thief Problem. CoRR (2020)
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning with incomplete datasets using multi-objective optimization models. CoRR (2020)
Hanwei Zhu, Michael Kirley
Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System. CEC (2019)
Daniel Herring, Michael Kirley, Xin Yao
Investigation of Asynchrony in Dynamic Multi-Objective Optimization. CEC (2019)
Manuel Chica, Raymond Chiong, Michael Kirley, Hisao Ishibuchi
A Networked N-Player Trust Game and Its Evolutionary Dynamics. IEEE Trans. Evol. Comput. 22 (6) (2018)
Yuan Sun, Michael Kirley, Xiaodong Li
Cooperative co-evolution with online optimizer selection for large-scale optimization. GECCO (2018)
Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO (2018)
Yuan Sun, Michael Kirley, Saman K. Halgamuge
A Recursive Decomposition Method for Large Scale Continuous Optimization. IEEE Trans. Evol. Comput. 22 (5) (2018)
Yuan Sun, Michael Kirley, Saman K. Halgamuge
Quantifying Variable Interactions in Continuous Optimization Problems. IEEE Trans. Evol. Comput. 21 (2) (2017)
Yuan Sun, Michael Kirley, Saman K. Halgamuge
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. ACALCI (2017)
Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller
The Minds of Many: Opponent Modeling in a Stochastic Game. IJCAI (2017)
Camilo Cruz, Michael Kirley, Justyna Karakiewicz
Generation and Exploration of Architectural Form Using a Composite Cellular Automata. ACALCI (2017)
Mario A. Muñoz, Michael Kirley
ICARUS: Identification of complementary algorithms by uncovered sets. CEC (2016)
Michael Kirley, Friedrich Burkhard von der Osten
Risk sensitivity and assortment in social dilemmas. Soft Comput. 20 (10) (2016)
Camilo Cruz, Justyna Karakiewicz, Michael Kirley
A Morphogenetic Design Strategy Using a Composite CA Model. GECCO (Companion) (2016)
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 (2015)
Yuan Sun, Michael Kirley, Saman Kumara Halgamuge
On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. GECCO (Companion) (2015)
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)
Yuan Sun, Michael Kirley, Saman Kumara Halgamuge
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. GECCO (2015)
Eduardo Araujo Oliveira, Michael Kirley, Tom Kvan, Justyna Karakiewicz, Carlos Vaz
Distributed and Heterogeneous Data Analysis for Smart Urban Planning. CAAD Futures (2015)
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) (2015)
Raymond Chiong, Michael Kirley
Promotion of cooperation in social dilemma games via generalised indirect reciprocity. Connect. Sci. 27 (4) (2015)
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 (2015)
Eduardo Araujo Oliveira, Michael Kirley, Elena Vanz, Kiev Gama
hSpy: An intelligent framework for context and predictive analysis for smarter health devices. ICTC (2014)
Michael Kirley, Friedrich Burkhard von der Osten
Risk aversion and mobility in the public goods game. GECCO (Companion) (2014)
Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller
Robust anticipatory stigmergic collision avoidance in multi-agent systems. AAMAS (2014)
Jens Pfau, Samin Karim, Michael Kirley, Liz Sonenberg
Improving cognitive agent decision making: Experience trajectories as plans. Web Intell. Agent Syst. 12 (3) (2014)
Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller
Anticipatory stigmergic collision avoidance under noise. GECCO (2014)
Michael Kirley, Friedrich Burkhard von der Osten
Adaptive Risk Aversion in Social Dilemmas. SEAL (2014)
Raymond Chiong, Michael Kirley
A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game. PRIMA (2013)
Mani Abedini, Michael Kirley
An enhanced XCS rule discovery module using feature ranking. Int. J. Mach. Learn. Cybern. 4 (3) (2013)
Mani Abedini, Michael Kirley, Raymond Chiong, Thomas Weise
GPU-accelerated eXtended Classifier System. CIDM (2013)
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 (2013)
Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. PPSN (1) (2012)
Raymond Chiong, Michael Kirley
The evolution of cooperation via stigmergic interactions. IEEE Congress on Evolutionary Computation (2012)
Minh Van Nguyen, Michael Kirley, Rodolfo García-Flores
Community evolution in a scientific collaboration network. IEEE Congress on Evolutionary Computation (2012)
Raymond Chiong, Michael Kirley
Effects of Iterated Interactions in Multiplayer Spatial Evolutionary Games. IEEE Trans. Evol. Comput. 16 (4) (2012)
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 (2012)
Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
Landscape characterization of numerical optimization problems using biased scattered data. IEEE Congress on Evolutionary Computation (2012)
Mengjie Zhang, Michael Kirley, Xiaodong Li
Guest Editorial: special issue on evolutionary optimisation and learning. Soft Comput. 15 (9) (2011)
Mani Abedini, Michael Kirley
Guided Rule Discovery in XCS for High-Dimensional Classification Problems. Australasian Conference on Artificial Intelligence (2011)
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) (2011)
Jens Pfau, Michael Kirley, Yoshihisa Kashima
An Agent-Based Model of Stereotype Communication. PRIMA Workshops (2011)
Raymond Chiong, Michael Kirley
Iterated n-player games on small-world networks. GECCO (2011)
Jacob Dumesny, Tim Miller, Michael Kirley, Liz Sonenberg
TATM: A Trust Mechanism for Social Traders in Double Auctions. Australasian Conference on Artificial Intelligence (2011)
Mani Abedini, Michael Kirley
A multiple population XCS: Evolving condition-action rules based on feature space partitions. IEEE Congress on Evolutionary Computation (2010)
Raymond Chiong, Michael Kirley
Evolving Cooperation in the Spatial N-player Snowdrift Game. Australasian Conference on Artificial Intelligence (2010)
Raymond Chiong, Michael Kirley
Co-evolution of agent strategies in N-player dilemmas. AAMAS (2010)
Golriz Rezaei, Jens Pfau, Michael Kirley
Distributed Advice-Seeking on an Evolving Social Network. IAT (2010)
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)
Raymond Chiong, Michael Kirley
Co-evolutionary Learning in the N-player Iterated Prisoner's Dilemma with a Structured Environment. ACAL (2009)
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) (2009)
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)
Golriz Rezaei, Michael Kirley, Jens Pfau
Evolving Cooperation in the N-player Prisoner's Dilemma: A Social Network Model. ACAL (2009)
Mani Abedini, Michael Kirley
CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning. Australasian Conference on Artificial Intelligence (2009)
Christian Vecchiola, Michael Kirley, Rajkumar Buyya
Multi-Objective Problem Solving With Offspring on Enterprise Clouds CoRR (2009)
Golriz Rezaei, Michael Kirley
The effects of time-varying rewards on the evolution of cooperation. Evol. Intell. 2 (4) (2009)
Michael Kirley, Mengjie Zhang, Xiaodong Li
Special issue on simulated evolution and learning. Evol. Intell. 2 (4) (2009)
Md. Rafiul Hassan, M. Maruf Hossain, Chandan K. Karmakar, Michael Kirley
Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation. SEAL (2008)
M. Maruf Hossain, Md. Rafiul Hassan, Michael Kirley
Forecasting Urban Air Pollution Using HMM-Fuzzy Model. PAKDD (2008)
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)
Cherhan Foo, Michael Kirley
An analysis of the effects of clustering in graph-based evolutionary algorithms. IEEE Congress on Evolutionary Computation (2008)
Golriz Rezaei, Michael Kirley
Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner's Dilemma game. SEAL (2008)
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. GECCO (2008)
Xiaodong Li, Jürgen Branke, Michael Kirley
Performance measures and particle swarm methods for dynamic multi-objective optimization problems. GECCO (2007)
Robert L. Stewart, Michael Kirley
Swarming with logic. GECCO (2007)
Jia Yu, Michael Kirley, Rajkumar Buyya
Multi-objective planning for workflow execution on Grids. GRID (2007)
Xiaodong Li, Jürgen Branke, Michael Kirley
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems. IEEE Congress on Evolutionary Computation (2007)
Michael Kirley, Robert L. Stewart
An analysis of the effects of population structure on scalable multiobjective optimization problems. GECCO (2007)
Md. Rafiul Hassan, Baikunth Nath, Michael Kirley
A fusion model of HMM, ANN and GA for stock market forecasting. Expert Syst. Appl. 33 (1) (2007)
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
Multiobjective differential evolution for workflow execution on grids. MGC (2007)
Michael Kirley, Robert L. Stewart
Multiobjective Evolutionary Algorithms on Complex Networks. EMO (2006)
Nicole Ronald, Leon Sterling, Michael Kirley
Evaluating JACK Sim for Agent-Based Modelling of Pedestrians. IAT (2006)
Harold Soh, Michael Kirley
moPGA: Towards a New Generation of Multi-objective Genetic Algorithms. IEEE Congress on Evolutionary Computation (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Kirley