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Alexandros Agapitos
Alexandros Agapitos
Postdoctoral researcher, Complex and Adaptive Systems Laboratory, University College Dublin
Verified email at ucd.ie
Title
Cited by
Cited by
Year
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
532007
Learning recursive functions with object oriented genetic programming
A Agapitos, SM Lucas
European Conference on Genetic Programming, 166-177, 2006
482006
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
462008
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
412021
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
392018
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
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
352015
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
332019
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
332014
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
332008
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
282012
Evolving modular recursive sorting algorithms
A Agapitos, SM Lucas
European Conference on Genetic Programming, 301-310, 2007
262007
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
222015
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
222010
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
212008
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
212007
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
192011
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
Regularised gradient boosting for financial time-series modelling
A Agapitos, A Brabazon, M O’Neill
Computational Management Science 14, 367-391, 2017
182017
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