2020
- Sun, Y., Wang, W., Kirley, M., Li, X., Chan, J. (2020).
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. In Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). February 7 - 12, 2020, New York, USA (accepted on 12/11/2019).
2019
- Zhu, H. and Kirley, M. (2019).
Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System.
IEEE Congress on Evolutionary Computation (CEC). pp. 142-149. IEEE Press.
- Herring, D., Kirley, M. and Yao, X. (2019).
Investigation of Asynchrony in Dynamic Multi-Objective Optimisation.
IEEE Congress on Evolutionary Computation (CEC). pp. 3165-3172. IEEE Press.
-
Shank, D.B., Kashima, Y., Peters, K., Li, Y., Robins, G., and Kirley, M. (2019).
Norm Talk and Human Cooperation: Can We Talk Ourselves into Cooperation? Journal of Personality and Social Psychology. 117(1):99-123. American Psychological Association Inc..
- Batty, M., Bettencourt, L. M., and Kirley, M. (2019).
Understanding Coupled Urban-Natural Dynamics as the Key to Sustainability: The Example of the Galapagos. In Urban Galapagos pp. 23-41. Springer, Cham.
-
Ku,Y.K., Kirley, M., Karakiewicz, J. and Jiang, Y.M. (2019).
Conceptualizing the evolution of Tmor-Da. In
Proceedings of SIGRADI Conference. pp 1-7.
2018
-
Sun, Y., Kirley, M. and Halgamuge, S. (2018).
A Recursive Decomposition Method for Large Scale Continuous Optimization.
IEEE Transactions on Evolutionary Computation.
22(5):647 - 661
-
Chica, M., Chiong, R., Kirley, M., & Ishibuchi, H.
(2018).
A Networked N-player Trust Game and its Evolutionary Dynamics.
IEEE Transactions on Evolutionary Computation.
22(6):866 - 878
-
Sun, Y., Kirley, M., Li, X., & Omidvar, M. (2018).
Cooperative Co-evolution with Online Optimizer Selection for Large-Scale Optimization.
In Proceedings of the 2018 Conference on Genetic and Evolutionary Computation Conference (GECCO), Kyoto, Japan, ACM. (In press. Accepted March 2018).
-
Sun, Y., Kirley, M. & Li, X. (2018).
Adaptive Threshold Parameter Estimation with Recursive Differential Grouping for Problem Decomposition.
In Proceedings of the 2018 Conference on Genetic and Evolutionary Computation Conference (GECCO), Kyoto, Japan, ACM. (In press. Accepted March 2018).
-
Ku, Y.E., Kirley, M. Karakiewicz, J. & Jiang, Y. M. (2018). Conceptualizing the evolution of Tmor-Da using an agent based model.
In Proceedings of SIGRADI 2018.
To appear September 2019, Sao Carlos, Brazil.
2017
-
Kashima, Y., Kirley, M., Stivala, A. and Robins, G.
(2017).
Modelling cultural dynamics.
In Robin R. Vallacher et al., (eds).
Computational Social Psychology.
Taylor & Francis.
In press. (Accepted Nov 2015).
-
von der Osten, F., Kirley, M. and Miller, T.
(2017).
Sustainability is possible despite greed - Exploring the nexus between profitability and sustainability in common pool resource systems.
Scientific Reports.
7:(2307).
http://www.nature.com/articles/s41598-017-02151-y
-
Sun, Y, Kirley, M. and Halgamuge, S.
(2017).
Quantifying Variable Interactions in Continuous Optimization Problems.
IEEE Transactions on Evolutionary Computation.
21(2):249-264.
-
von der Osten, F., Kirley, M. and Miller, T.
(2017).
The minds of many: opponent modeling in a stochastic game.
International Joint Conference on Artificial Intelligence (IJCAI 17).
To appear: August 2017 in Melbourne.
-
Sun, Y., Kirley, M. and Halgamuge,S.
(2017).
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization.
Australasian Conference on Artificial Life and Computational Intelligence.
Lecture Notes in Artificial Intelligence. Springer. pp 1-8
-
Cruz,C., Karakiewicz, J. and Kirley, M.
(2017).
Generation and exploration of architectural form using a composite Cellular Automata.
Australasian Conference on Artificial Life and Computational Intelligence.
Lecture Notes in Artificial Intelligence. Springer. pp 1-8.
-
Cruz,C., Karakiewicz, J. and Kirley, M.
(2017).
An Interactive Approach for Evolving Pareto Optimal Architectural Form.
Symposium on Simulation for Architecture and Urban Design (SimAUD) To appear: May 2017 in Toronto.
2016
-
Stivala, A., Kashima, Y., Robins, G. and Kirley, M. (2016).
Diversity and Community Can Co-exist.
American Journal of Community Psychology.
57(1-2): 243–254
-
Stivala, A., Kashima, Y., and Kirley, M. (2016).
Culture and cooperation in a spatial public goods game.
Physical Review E.
In press. Accepted August 2016.
-
Kirley, M. and von der Osten, F.B. (2016).
Risk sensitivity and assortment in social dilemmas.
Soft Computing.
20(10): 3775-3786
-
Varmazyar , M., Kirley, M., and Haritos, N. (2016)
A Wavelet-Based Bayesian Damage Identification Technique Using an Evolutionary Algorithm.
Australian Journal of Structural Engineering.
10.1080/13287982.2016.1259712. Taylor & Francis. pp 1-17
-
Munoz, M. and Kirley, M. (2016).
ICARUS: Identification of Complementary algoRithms by Uncovered Sets.
IEEE CEC 2016. IEEE Press. pp 2427-2432.
-
Cruz,C., Karakiewicz, J. and Kirley, M.
(2016).
Towards the Implementation of a Composite Cellular Automara Model for the Exploration of Design Space.
CAADRIA. pp 1-8.
2015
- Munoz, M.A., Kirley, M. and Halgamuge, S. (2015).
Exploratory landscape analysis of continuous space optimization problems using information content.
IEEE Transactions on Evolutionary Computation. 19(1):74-87
- Munoz, M.A., Sun, Y., Kirley, M. and Halgamuge, S. (2015).
Algorithm selection for black-box continuous optimization problems: a survey on methods and challenges.
Information Sciences. 317:224-245.
-
Shank, D., Kashima, Y., Saber S., Gale, T. and Kirley, M. (2015).
Dilemma of Dilemmas: How Collective and Individual Perspectives can clarify the Size Dilemma in Voluntary Linear Public Goods Dilemmas.
Plos One. DOI: 10.1371/journal.pone.0120379.
-
Varmazyar, M., Haritos, N. and Kirley, M. (2015).
A Damage Identification Technique Using Evolutionary Algorithms: A Comparative Study.
Electronic Journal of Structural Engineering
In press. Accepted Jan 2015.
-
Oliveira, E., Kirley, M., Gama, K. and Fonseca, J. (2015).
Device Nimbus: An Intelligent Middleware for Smarter Services for Health and Fitness.
International Journal of Distributed Sensor Networks.
In press. Accepted March 2015
-
Chiong, R and Kirley, M. (2015).
Promotion of cooperation in social dilemma games via generalised indirect reciprocity.
Connection Science. In press. Accepted July 2015.
- Sun, Y., Kirley, M. and Halgamuge, S. (2015).
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions.
Genetic and Evolutionary Computation Conference. ACM press.
(To be presented at GECCO 2015, Madrid, July 2015).
- Oliveira, E., Kirley, M., Kvan, T., Karakiewicz, J. and Vaz, C. (2015).
Distributed and Heterogeneous Data Analysis for Smart Urban Planning.
Computer-Aided Architectural Design Futures. The Next City-New Technologies Springer.
- Oliveira, E., Koch, F. and Kirley, M. (2015). Towards a Middleware for Context-Aware Health Monitoring.
Advances in Social Computing and Multiagent Systems. Communications in Computer and Information Science. 541 Springer.
(Paper presented at the Sixth International Workshop on Collaborative Agents Research & Development, Istanbul, May 2015).
2014
- Stivala, A.; Robins, G.; Kashima, Y. and Kirley, M. (2014). Ultrametric distribution of culture vectors in an extended Axelrod model of cultural dissemination.
Scientific Reports. 4, 4870. DOI: 10.1038/srep04870 http://www.nature.com/srep/2014/140502/srep04870/full/srep04870.html
- Pfau, J; Karim, S.; Kirley, M. and Sonenberg, L. (2014).
Improving cognitive agent decision making: Experience trajectories as plans.
Web Intelligence and Agent Systems: An International Journal. 12(3): 267-287
- Kirley, M. and Von der Osten, F.B. (2014)
Adaptive Risk Aversion in Social Dilemmas.
In G Dick et al., (eds)
Proceedings of 10th International Conference on Simulated Evolution and Learning (SEAL14), Volume 8886 of Lecture Notes in Computer Science. pp 443-454. Springer.
-
Von der Osten, F.B., Kirley, M. and Miller, T. (2014).
Anticipatory Stigmergic Collision Avoidance under Noise.
Genetic and Evolutionary Computation Conference.
ACM press. pp 65-72
Best paper award nomination
-
Von der Osten, F.B., Kirley, M. and Miller, T. (2014).
Robust Anticipatory Stigmergic Collision Avoidance in Multi-Agent Systems.
13th International Conference on Autonomous Agents and Multi-Agent Systems.
(Extended Abstract presented at AAMAS 2014, Paris, May 2014)
-
Varmazyar M., Haritos N., and Kirley M. (2014).
Structural damage identification using power spectral density and an evolutionary algorithm.
In G. Deodatis et al (eds) Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures.
(Paper presented at ICOSSAR2013, New York, June 2013).
CRC Press.
-
Oliveira, E., Kirley, M., Gama, K. and Vanz, E. (2014).
hSpy: An Intelligent Framework for Context and Predictive Analysis for Smarter Health Devices.
In Proceedings of the International Conference in ICT Convergence. IEEE Press. pp 53-58
2013
- Munoz, M.A., Kirley, M. and Halgamuge, S. (2013).
The algorithm selection problem on the continuous optimization domain.
In C. Moewes and A. Nurnberger eds.
Computational Intelligence in Intelligent Data Analysis. SCI Volume 445. pp 75-89. DOI:10.1007/978-3-642-32378-2_6. Springer.
- Pfau,J., Kirley, M. and Kashima, Y. (2013).
The Co-evolution of Cultures, Social Network Communities, and Agent Locations in an Extension of Axelrod's Model of Cultural Dissemination. Physica A: Statistical Mechanics and its Applications.
392(2):381-391.
-
Abedini, M. and Kirley, M. (2013).
An enhanced XCS rule discovery module using feature ranking.
International Journal of Machine Learning and Cybernetics. 4(3):173-187.
-
Abedini, M., Kirley, M., Chiong, R. (2013).
Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DMA microarray gene expression data.
Australasian Medical Journal. 6(5):272-279.
- Varmazyar, M., Haritos, N., Kirley, M. and Peterson, T. (2013).
A One Stage Damage Detection Technique Using Spectral Density Analysis and Parallel Genetic Algorithms.
Key Engineering Materials. 558:1-11. doi:10.4028/www.scientific.net/KEM.558.1.
-
Chiong, R., and
Kirley, M.
(2013).
A Multi-Agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game.
In Proceedings of the 16th International Conference on Principles and Practices of Multi-agent Systems. (PRIM2013)
p70-84. Springer.
- Abedini, M.,
Kirley, M,
Chiong, R.
and
Weisse, T.
(2013).
GPU-accelerated extended Classifier System.
In Proceedings of IEEE Symposium Series on Computational Intelligence and Data Mining. pp 299-306. IEEE Press.
2012
-
Chiong, R. and Kirley, M. (2012).
Effects of Iterated Interactions in Multi-player Spatial Evolutionary Games.
IEEE Transactions on Evolutionary Computation. 16(4):537-555.
- Rezaei, G. and Kirley, M. (2012).
Dynamic Social Networks Facilitate Cooperation in the N-player Prisoner's Dilemma.
Physica A: Statistical Mechanics and its Applications.
391(15):6199-6211
-
Chiong, R. and Kirley. M. (2012).
Random mobility and the evolution of cooperation in spatial N-player iterated prisoner's dilemma games.
Physica A: Statistical Mechanics and its Applications.
391(15):3915-3923
- Hassan, Md.R., Nath, B., Kirley, M. and Kamruzzaman, J. (2012)
A Hybrid Multi-objective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction.
Neurocomputing. 81(1):1-11
- Munoz, M.A., Kirley, M. and Halgamuge, S. (2012).
Landscape Characterization of Numerical Optimization Problems Using Biased Scattered Data.
In WCCI 2012 IEEE World Congress on Computational Intelligence (CEC) .
pp 1180-1187.
IEEE Press.
- Van Nguyen, M., Kirley, M. and Garcia-Flores, R. (2012).
Community Evolution in A Scientific Collaboration Network.
In WCCI 2012 IEEE World Congress on Computational Intelligence (CEC) .
pp 739-746.
IEEE Press.
- Chiong, R. and Kirley, M. (2012).
The Evolution of Cooperation via Stigmergic Interactions.
In WCCI 2012 IEEE World Congress on Computational Intelligence (CEC) .
1052-1059.
IEEE Press.
Best paper award nomination.
- Pfau, J. Kirley, M. and Kashima, Y. (2012) An agent-based model of stereotype communication.
Agent Based Simulation for a Sustainable Society Workshop at PRIMA 2011. Lecture Notes in Artificial Intelligence 7580. pp 32-47. Springer.
- Munoz, M.A., Kirley, M. and Halgamuge, S. (2012).
A Meta-Learning Prediction Model of Algorithm Performance for Continuous Optimization Problems.
Parallel Problem Solving from Nature -- PPSN XII.
Lecture Notes Computer Science Vol 7491. pp 226-235. Springer.
- Varmazyar, M., Haritos, N., Kirley, M. and Peterson, T. (2012).
A One Stage Damage Detection Technique Using Spectral Density Analysis and Parallel Genetic Algorithms.
4th Asia-Pacific Conference on Structure Health Monitoring. To appear December 2012.
- Abedini, M.; Kirley, M. and Chiong, R. (2012). FS-XCS vs. GRD-XCS: An analysis using high-dimensional DNA microarray gene expression data sets.
The Second Australian Workshop on Artificial Intelligence in Health. CEUR Vol-941 pp 21-32.
2011
-
Netto, M.A.S., Vecchiola,C., Kirley, M., Varela, C.A., Buyya, R. (2011)
Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications.
Journal of Parallel and Distributed Computing. 71(10):1388-1399.
- Zhang, M., Kirley, M. and Li, X. (2011). Guest Editorial: special issue on evolutionary optimisation and learning. Soft Computing. 15(9):1671
-
Netto, M.A.S., Vecchiola,C., Kirley, M., Varela, C.A., Buyya, R. (2011)
Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications.
Journal of Parallel and Distributed Computing. 71(10):1388-1399.
- Zhang, M., Kirley, M. and Li, X. (2011). Guest Editorial: special issue on evolutionary optimisation and learning. Soft Computing. 15(9):1671
-
Chiong, R. and Kirley, M. (2011).
Iterated N-Player Games on Small-World Networks.
In Proceedings of the 2011 ACM Genetic and Evolution Computation Conference (GECCO 2011) . pp 1123-1130. ACM press.
-
Abedini, M and Kirley, M. (2011)
Guided rule discovery in XCS for High-dimensional Classification Problems.
Proceedings of 24th Australasian Artificial Intelligence Conference, Lecture Notes in Artificial Intelligence. 7106. pp 1-10. Springer.
-
Dumesny, J., Miller, T., Kirley, M. and Sonenberg, L. (2011)
TATM: A trust mechanism for social traders in double auctions
Proceedings of 24th Australasian Artificial Intelligence Conference, Lecture Notes in Artificial Intelligence. 7106. pp 402-41. Springer.
2010
- Abedini. M and Kirley, M. (2010). A multiple population XCS: Evolving condition-action rules based on feature space partitions. 2010 IEEE World Congress on Computational Intelligence (CEC). pp 471-478. IEEE press.
- Chiong, R and Kirley, M. (2010). Imitation vs Evolution: Analysing the Effects of Strategy Update Mechanisms in N-player Social Dilemmas. 2010 IEEE World Congress on Computational Intelligence (CEC). 2904-2911 IEEE press.
- Chiong, R and Kirley, M. (2010). Co-evolution of agent strategies in N-player social dilemmas.
In 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010). pp 1591-1592. IFAAMAS.
- Chiong, R and Kirley, M. (2010). Evolving Cooperation in the Spatial N-player Snowdrift Game. Australasian Conference on Artificial Intelligence volume 6464 of Lecture Notes in Computer Science 263-272. Springer.
- Pfau, J., Kirley, M. and Kashima, Y. Globalization and Cultural Diversity. In Proceedings of the 3rd World Congress on Social Simulation. Best paper award.
- Rezaei, G., Kirley, M and Pfau, J. (2010). Distributed Advice-Seeking on an Evolving Social Network. 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. vol. 2, pp.24-31. IEEE Press.
- Vecchiola, C., Abedini, M. Kirley, M., Chu, X. and Buyya, R. (2010). Gene Expression Classification with a Novel Coevolutionary based Learning Classifier System on Public Clouds. Proceedings of the e-Science 2010 Workshop on Parallel Optimisation and Parameter Fitting, (IEEE CS Press, USA) -- to appear Brisbane, Australia, Dec. 7, 2010.
2009
- Moss, R., Kazmierczak, E., Kirley, M. and P. Harris. (2009). A computational model for emergent dynamics
in the kidney. Philosophical Transactions of the Royal Society A - Mathematical, Physical and
Engineering Sciences, 367:2125-2140.
- Moss, R., Kazmierczak, E., Kirley, M. and P. Harris. (2009). Discrete network models of interacting
nephrons. Physica D -- Nonlinear Phenomena,238:216-2176
- Talukder, A.K.M, Kirley, M. and R. Buyya. (2009). Multi-objective differential evolution for scheduling work flow applications on global grids. Concurrency and Computation: Practice and Experience. 21(13):1742-1756
- Rezaei, G. and Kirley, M. (2009). The effects of time varying rewards on the evolution of cooperation. Evolutionary Intelligence, 2(4):207-218.
- Kirley,M., Zhang, M. and Li, X. (2009). Special Issue on simulated evolution and learning. Evolutionary Intelligence. 2:149-150
- Abedini, M and Kirley, M (2009).
CoXCS: a coevolutionary learning classifier based on feature space partitioning.
In A. Nicholson and X. Li, editors, Proceedings of 22nd Australasian Artificial Intelligence Conference, volume 5866 of Lecture Notes in Artificial Intelligence, pages 360-369. Springer.
- Chiong, R. and Kirley, M. (2009).
Co-evolutionary learning in the N-player Iterated Prisoner's Dilemma
with a Structured Environment. In M. Randall K. Korb and T. Hendtlass, editors, Artificial
Life: Borrowing from Biology (ACAL), volume 5865 of Lecture Notes in Computer Science, pages
43-52. Springer.
- Rezaei, G., Kirley, M and Pfau, J. (2009). Evolving cooperation in the N-player prisoner's dilemma: A
social network model. In M. Randall K. Korb and T. Hendtlass, editors, Artificial Life: Borrowing
from Biology (ACAL), volume 5865 of Lecture Notes in Computer Science, pages 32-42.
- Talukder, A.K.M., Kirley, M. and Buyya, R. (2009). The Pareto-following variation operator as an alternative approximation method. In A. Tyrell et al., editor, 2009 IEEE Congress on Evolutionary Computation. IEEE Press. Best paper award nomination.
- Vecchiola, C., Kirley, M. and Buyya, R. (2009). Multi-objective problem solving with offspring on enterprise clouds. In J-N. Juang, editor, Proceedings of the 10th International Conference on High-Performance Computing in Asia-Pacific Region (HPC Asia 2009), pages 132-139. NCHPC
2008
- Rezaei, G. and Kirley, M. (2008) Heterogeneous payoffs and social diversity in the spatial prisoner's
dilemma game. In X. Li, M. Kirley, and M. Zhang, editors, Proceedings of 7th International
Conference on Simulated Evolution and Learning, volume 5361 of Lecture Notes in Computer
Science, pages 585--594
- Hassan,M.R., Hossain, M.M., Karmakar,C.K. and Kirley, M. (2008). Phylogeny inference using a multi-
objective evolutionary algorithm with indirect representation. In X. Li, M. Kirley, and M. Zhang,
editors, Proceedings of 7th International Conference on Simulated Evolution and Learning, volume
5361 of Lecture Notes in Computer Science, pages 41-50. Springer, 2008
- Foo, C. and Kirley, M. (2008). An analysis of the effects of clustering in graph-based evolutionary algorithms. In Z. Michalewicz et al., editor, Proceedings of the 2008 IEEE Congress on Evolutionary Computation, pages 2246-2253. IEEE Press.
- Hossain, M.M., Hassan, Md. R. and Kirley, M. (2008). Forecasting Urban Air Pollution Using a HMM-Fuzzy Model. In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining.
volume 5012 of Lecture Notes in Computer Science, pages 572-581.
- Talukder, A.K.M and Kirley, M. (2008). A Pareto Following Variation Operator For Evolutionary Dynamic Multi-objective Optimization.
In Proceedings of the 2008 IEEE Congress on Evolutionary Computation. pages 2270-2277. IEEE Press.
- Talukder, A.K.M., Kirley, M and Buyya, R. (2008). A Pareto Following Variation Operator For Fast-Converging Multi-objective Evolutionary Algorithms.
In Proceedings of the 2008 ACM Genetic and Evolution Computation Conference. pages 721-728. ACM Press,
2007
- Ronald, N., Sterling, L. and Kirley, M. (2007). An agent-based approach to modelling pedestrian behaviour. International Journal of Simulation: Systems, Science and Technology. 8(1):25-39.
- Hassan, M.R., Nath, B. and Kirley, M. (2007). A Fusion Model of HMM, ANN and GA for Stock Market Forecasting. Expert Systems With Applications. 33(1):171-180.
- Kirley, M. and Stewart R. (2007). An analysis of the effects of population structure on scalable multiobjective optimization problems. In D. Thierens et al., (eds) SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2007). pp. 845-852. ACM Press.
- Kirley, M. and Stewart R. (2007). Multiobjective evolutionary algorithms on complex networks. In T. Murata et al., (eds.) Fourth International Conference on Evolutionary Multi-Criterion Optimization. Lecture Notes Computer Science, 4403. pp 81-95. Springer-Verlag.
- Li, X., Branke, J. and Kirley, M. (2007). On Performance Metrics and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems. In T. Lee et al., (eds) The Proceedings of the IEEE Congress on Evolutionary Computation (CEC2007). pp. 1635-1643. IEEE Press.
- Jayasundara, C., Balbo, S., Farmer, R. and Kirley, M. (2007).Speclad: an Online Collaborative Problem-Based Learning Environment. In the Proceedings of the Eighteenth Annual Conference of the Australasian Association for Engineering Education (AaeE 2007).
- Yu, J., Kirley, M. and Buyya, R. (2007). Multi-objective Planning for Workflow Execution on Grids. In T. Fahringer et al,. (eds) 8th IEEE/ACM International Conference on Grid Computing. pp. 10-17. IEEE Press.
2006
- Kirley, M. (2006). Evolutionary minority games with small-world interactions. Physica A: Statistical Mechanics and its Applications. 365:521-528.
- Soh, H. and Kirley, M. (2006). moPGA: An Efficient, Scalable and Easy-To-Use Competent Multi-objective Genetic Algorithm. In D. Fogel et al., (eds) The Proceedings of the IEEE Congress on Evolutionary Computation -- CEC2006. IEEE Press. 1702 - 1709 .
- Hassan, M.R., Nath, B. and Kirley, M. (2006). HMM based Fuzzy Model for Time Series Prediction. In D. Fogel et al., (eds.) The Proceedings of the IEEE International Conference on Fuzzy Systems -- FUZZ-IEEE 2006. IEEE Press. pp 2120 - 2126.
- Ronald, N., Sterling, L. and Kirley, M. (2006). Evaluating JACK Sim for agent-based modelling of pedestrians. In J. Liu et al., (eds.) The Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology. pp 248-255. IEEE Press.
- Kirley, M. (2006). Dominance hierarchies and social diversity in multi-agent systems. In M. Keijzer et al., (eds.) The SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2006). ACM Press. pp 159-167.
- Kirley, M. (2006). Supporting Casual Tutors and Demonstrators: A case study in computer science and software engineering. In D. Tolhurst and S. Mann (eds.) Eighth Australasian Computing Education Conference (ACE2006). pp 109-115. CRPIT-52-109-115.
- Selvaratnam, S. and Kirley, M. (2006). Predicting Stock Market Time Series Using Evolutionary Artificial Neural Networks with Hurst Exponent Input Windows. In A. Sattar (eds.) 19th Australian Joint Conference on Artificial Intelligence. Lecture Notes Computer Science, 4304. pp 617-626. Springer-Verlag.
- Ronald, N. and Kirley, M. (2006). Pedestrian modelling: a comparative study using agent-based cellular automata. Modelling of Complex Systems by Cellular Automata. Computational Science. Lecture Notes Computer Science, 3993. pp 248-255. Springer-Verlag.
2005
- Ronald, N., Sterling, L. and Kirley, M. (2005). A conceptual framework for specifying and developing pedestrian models.
In The Proceedings of the 16th Biennial Conference of The Modelling and Simulation Society of Australia and New Zealand (MODSIM 2005). pages 2615-2621.
- Kirley, M. (2005). Competition, cooperation and collective behaviour: resource utilization in non-stationary environments. In A Skowron et al. (eds.) The Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology. pp572-578. IEEE Press.
- Kshetrapalapuram, K.K. and Kirley, M. (2005). Mining Classification Rules Using Evolutionary Multi-objective Algorithms. In The Proceedings of the Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes Computer Science 3683. pp 959-969. Springer-Verlag.
2004
- Kirley, M. (2004). Complex networks and evolutionary games. Complexity International, 11:237-246.
- Cornforth, D. and Kirley, M. (2004). Cooperative problem solving using an agent based model. In K. Deb et al., (eds.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004). Lecture Notes Computer Science, 3102. pp 60-71. Springer-Verlag.
- Cornforth, D., Kirley, M. and Bossomaier, T. (2004). Agent heterogeneity and coalition formation: Investigating market-based cooperative problem-solving. In N. Jennings et al., (eds.) Proceedings of the Third International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS-04). pp 556-564. ACM Press.
pre Univeristy of Melbourne
- Li, X. and Kirley, M. (2002). The Effects of Varying Population Density in a Fine-grained Parallel Genetic Algorithm. In D. Fogel et al., (eds.) Proceedings of the Congress on Evolutionary Computation. (CEC2002). pp 1709-1714. IEEE Press.
- Cornforth, D., Green, D.G., Newth, D. and Kirley, M. (2002). Do Artificial Ants March in Step? Ordered Asynchronous Processes and Modularity in Biological Systems. In R. Standish et al., (eds) Artificial Life VIII: Proceedings of the Eighth International Conference. pp 28-38. MIT Press.
- Kirley, M. (2002). A Cellular Genetic Algorithm with Disturbances: Optimisation Using Dynamic Spatial Interactions. Journal of Heuristics. 8(3):321-242.
- Clapham, N., Green, D.G. and Kirley, M. (2002). Emergent information systems - the role of adaptive agents. The Australian Journal of Intelligent Information Processing Systems. 7(3/4):96-111.
- Kirley, M. (2001). MEA: A metapopulation evolutionary algorithm for multi-objective optimisation problems. In G. Fogel et al., (eds.) Proceedings of the Congress on Evolutionary Computation. (CEC2001). pp 949-956. IEEE Press.
- Kirley, M., Newth, D. and Green, D.G. (2000). A Tree Based Genetic Algorithm for Solving Open-Shop Scheduling Problems. International Journal of Knowledge-Based Intelligent Engineering Systems. 4(3):143-149.
- Green, D.G., and Kirley, M.G. (2000). Adaptation, diversity and spatial patterns. International Journal of Knowledge-Based Intelligent Engineering Systems. 4(3):184-190.
- Kirley, M. and Green, D.G. (2000). An Empirical Investigation of Optimisation in Dynamic Environments Using the Cellular Genetic Algorithm. In D. Whitley et al., (eds) The Proceedings of Genetic and Evolutionary Computation Conference (GECCO-2000). pp 11-18. Morgan Kaufmann.
- Kirley, M., Green, D.G and Newth, D. (2000). Multi-objective Problem, Multi-species Solution: An Application of the Cellular Genetic Algorithm. In M. Mohammadian (ed.) Proceedings of International Conference on Advances in Intelligent Systems: Theory and Applications (ICAIS 2000). pp 129-135. IOS press.
- Newth, D., Kirley. M. and Green, D.G. (2000). An Investigation of the use of Local Search in NP-Hard Problems. In T. Furuhashi et al., (eds.) The Third Asian Pacific Conference on Simulated Evolution and Learning (SEAL-2000). pp 2710-2715. IEEE Press.
- Clapham, N., Green, D.G. and Kirley, M. (2000). Distributed data warehouses - the role of adaptive information agents. In T. Furuhashi et al., (eds.) The Third Asian Pacific Conference on Simulated Evolution and Learning (SEAL-2000). pp 2792-2797. IEEE Press.
- Green, D.G., Newth. D and Kirley, M. (2000). Connectivity and Catastrophe - Towards a General Theory of Evolution. In M. A. Bedau et al., (eds.) Artificial Life VII: Proceedings of the Seventh International Conference. pp 153-161. MIT Press.
- Kirley, M. (1999). A Coevolutionary Genetic Algorithm for Job Shop Scheduling Problems. In L.C. Jain (ed), Proceedings of The Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. pp 84-87. IEEE Press.
- Kirley, M., Li, X. and Green, D. (1998). Investigation of a cellular genetic algorithm that mimics landscape ecology. In R. McKay et al., (eds.) Simulated Evolution and Learning (SEAL98). Lecture Notes in Artificial Intelligence, 1585. pp 90-97. Springer-Verlag.
- Yamamoto, T., Kirley, M. and Li, X. (1998). Species Abundance to the Energy Flow in Ecosystem Simulation. In R. Pfeifer et al. (eds) The Proceedings of The Fifth International Conference on Simulation of Adaptive Behaviour. pp 0826-3548. MIT press.
PhD
- PhD thesis (completed 2002)
- Title: Ecological Algorithms:
An investigation of adaptation, diversity and spatial patterns in complex optimzation problems.
- Supervisor: Professor David G Green