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Alexandros Agapitos
Alexandros Agapitos
Postdoctoral researcher, Complex and Adaptive Systems Laboratory, University College Dublin
Adresse e-mail validée de ucd.ie
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Année
Evolving controllers for simulated car racing using object oriented genetic programming
A Agapitos, J Togelius, SM Lucas
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
542007
Learning recursive functions with object oriented genetic programming
A Agapitos, SM Lucas
European Conference on Genetic Programming, 166-177, 2006
462006
Generating diverse opponents with multiobjective evolution
A Agapitos, J Togelius, SM Lucas, J Schmidhuber, A Konstantinidis
2008 IEEE Symposium On Computational Intelligence and Games, 135-142, 2008
452008
Evolving efficient recursive sorting algorithms
A Agapitos, SM Lucas
2006 IEEE International Conference on Evolutionary Computation, 2677-2684, 2006
402006
Understanding grammatical evolution: Grammar design
M Nicolau, A Agapitos
Handbook of grammatical evolution, 23-53, 2018
362018
An investigation of fitness sharing with semantic and syntactic distance metrics
QU Nguyen, XH Nguyen, M O’Neill, A Agapitos
Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain …, 2012
362012
Ubiquitous robotics in physical human action recognition: A comparison between dynamic anns and gp
T Theodoridis, A Agapitos, H Hu, SM Lucas
2008 IEEE International Conference on Robotics and Automation, 3064-3069, 2008
342008
Guidelines for defining benchmark problems in genetic programming
M Nicolau, A Agapitos, M O'Neill, A Brabazon
2015 IEEE Congress on Evolutionary Computation (CEC), 1152-1159, 2015
332015
A survey of statistical machine learning elements in genetic programming
A Agapitos, R Loughran, M Nicolau, S Lucas, M O’Neill, A Brabazon
IEEE Transactions on Evolutionary Computation 23 (6), 1029-1048, 2019
302019
Experiments in program synthesis with grammatical evolution: A focus on integer sorting
M O'Neill, M Nicolau, A Agapitos
2014 IEEE Congress on Evolutionary Computation (CEC), 1504-1511, 2014
302014
Choosing function sets with better generalisation performance for symbolic regression models
M Nicolau, A Agapitos
Genetic programming and evolvable machines 22 (1), 73-100, 2021
292021
Controlling overfitting in symbolic regression based on a bias/variance error decomposition
A Agapitos, A Brabazon, M O’Neill
International Conference on Parallel Problem Solving from Nature, 438-447, 2012
252012
Evolving modular recursive sorting algorithms
A Agapitos, SM Lucas
European Conference on Genetic Programming, 301-310, 2007
242007
Deep evolution of image representations for handwritten digit recognition
A Agapitos, M O'Neill, M Nicolau, D Fagan, A Kattan, A Brabazon, ...
2015 IEEE Congress on Evolutionary Computation (CEC), 2452-2459, 2015
212015
Evolutionary learning of technical trading rules without data-mining bias
A Agapitos, M O’Neill, A Brabazon
Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010
212010
Comparing the performance of the evolvable πgrammatical evolution genotype-phenotype map to grammatical evolution in the dynamic ms. pac-man environment
E Galván-López, D Fagan, E Murphy, JM Swafford, A Agapitos, M O'Neill, ...
IEEE Congress on Evolutionary Computation, 1-8, 2010
192010
On the genetic programming of time-series predictors for supply chain management
A Agapitos, M Dyson, J Kovalchuk, SM Lucas
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
192008
Multiobjective techniques for the use of state in genetic programming applied to simulated car racing
A Agapitos, J Togelius, SM Lucas
2007 IEEE Congress on Evolutionary Computation, 1562-1569, 2007
192007
A preliminary investigation of overfitting in evolutionary driven model induction: Implications for financial modelling
C Tuite, A Agapitos, M O’Neill, A Brabazon
Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMNET …, 2011
182011
Regularised gradient boosting for financial time-series modelling
A Agapitos, A Brabazon, M O’Neill
Computational Management Science 14, 367-391, 2017
152017
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