Marcus Gallagher
TitleCited byYear
Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA
B Yuan, M Gallagher
Evolutionary Computation, 2005. The 2005 IEEE Congress on 2, 1792-1799 Vol. 2, 2005
1042005
Real-valued evolutionary optimization using a flexible probability density estimator
M Gallagher, M Frean, T Downs
Proceedings of the Genetic and Evolutionary Computation Conference 1, 13-17, 1999
951999
A general-purpose tunable landscape generator
M Gallagher, B Yuan
Evolutionary Computation, IEEE Transactions on 10 (5), 590-603, 2006
942006
Learning to play Pac-Man: An evolutionary, rule-based approach
M Gallagher, A Ryan
Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 4, 2462-2469 Vol. 4, 2003
912003
On the importance of diversity maintenance in estimation of distribution algorithms
B Yuan, M Gallagher
Proceedings of the 2005 conference on Genetic and evolutionary computation …, 2005
832005
Statistical racing techniques for improved empirical evaluation of evolutionary algorithms
B Yuan, M Gallagher
Parallel Problem Solving from Nature-PPSN VIII, 172-181, 2004
692004
Multiple community energy storage planning in distribution networks using a cost-benefit analysis
J Sardi, N Mithulananthan, M Gallagher, DQ Hung
Applied energy 190, 453-463, 2017
652017
Multi-layer perceptron error surfaces: visualization, structure and modelling
M Gallagher
University of Queensland, 2000
622000
Playing in continuous spaces: Some analysis and extension of population-based incremental learning
B Yuan, M Gallagher
Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 1, 443-450 Vol. 1, 2003
562003
Reinforcement Learning in First Person Shooter Games
M McPartland, M Gallagher
Computational Intelligence and AI in Games, IEEE Transactions on, 1-1, 2011
552011
An influence map model for playing Ms. Pac-Man
N Wirth, M Gallagher
Computational Intelligence and Games, 2008. CIG'08. IEEE Symposium On, 228-233, 2008
532008
The influence of a breakfast meal on the assessment of body composition using bioelectrical impedance
MR Gallagher, KZ Walker, K O'Dea
European journal of clinical nutrition 52 (2), 94, 1998
511998
Combining meta-EAs and racing for difficult EA parameter tuning tasks
B Yuan, M Gallagher
Parameter Setting in Evolutionary Algorithms, 121-142, 2007
452007
Population-based continuous optimization, probabilistic modelling and mean shift
M Gallagher, M Frean
Evolutionary Computation 13 (1), 29-42, 2005
452005
Visualization of learning in multilayer perceptron networks using principal component analysis
M Gallagher, T Downs
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003
452003
Evolving pac-man players: Can we learn from raw input?
M Gallagher, M Ledwich
Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on, 282-287, 2007
422007
Learning to be a bot: Reinforcement learning in shooter games
M McPartland, M Gallagher
The Fourth Artificial Intelligence and Interactive Digital Entertainment …, 2008
412008
Under voltage load shedding in power systems with wind turbine-driven doubly fed induction generators
A Arief, ZY Dong, MB Nappu, M Gallagher
Electric Power Systems Research 96, 91-100, 2013
382013
The turing test track of the 2012 mario ai championship: entries and evaluation
N Shaker, J Togelius, GN Yannakakis, L Poovanna, VS Ethiraj, ...
2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013
352013
Creating a multi-purpose first person shooter bot with reinforcement learning
M McPartland, M Gallagher
Computational Intelligence and Games, 2008. CIG'08. IEEE Symposium On, 143-150, 2008
332008
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