Edgar Galvan
Cited by
Cited by
Semantically-based crossover in genetic programming: application to real-valued symbolic regression
NQ Uy, NX Hoai, M O’Neill, RI McKay, E Galván-López
Genetic Programming and Evolvable Machines 12 (2), 91-119, 2011
Design and optimization of a shape memory alloy-based self-folding sheet
E Peraza-Hernandez, D Hartl, E Galvan, R Malak
Journal of Mechanical Design 135 (11), 2013
Neutrality in evolutionary algorithms… What do we know?
E Galván-López, R Poli, A Kattan, M O’Neill, A Brabazon
Evolving Systems 2 (3), 145-163, 2011
Defining locality as a problem difficulty measure in genetic programming
E Galván-López, J McDermott, M O’Neill, A Brabazon
Genetic Programming and Evolvable Machines 12 (4), 365-401, 2011
Using semantics in the selection mechanism in genetic programming: a simple method for promoting semantic diversity
E Galvan-Lopez, B Cody-Kenny, L Trujillo, A Kattan
2013 IEEE Congress on Evolutionary Computation, 2972-2979, 2013
An analysis of genotype-phenotype maps in grammatical evolution
D Fagan, M O’Neill, E Galván-López, A Brabazon, S McGarraghy
European Conference on Genetic Programming, 62-73, 2010
An empirical investigation of how and why neutrality affects evolutionary search
E Galván-López, R Poli
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
Towards an understanding of locality in genetic programming
E Galván-López, J McDermott, M O'Neill, A Brabazon
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
neat Genetic Programming: Controlling bloat naturally
L Trujillo, L Muńoz, E Galván-López, S Silva
Information Sciences 333, 21-43, 2016
Semantic similarity based crossover in GP: The case for real-valued function regression
N Uy, M O'Neill, N Hoai, BM McKay, E Galván-López
Artifical Evolution, 170-181, 2010
Evolving a ms. pacman controller using grammatical evolution
E Galván-López, JM Swafford, M O’Neill, A Brabazon
European Conference on the Applications of Evolutionary Computation, 161-170, 2010
Efficient exploration of the High Entropy Alloy composition-phase space
A Abu-Odeh, E Galvan, T Kirk, H Mao, Q Chen, P Mason, R Malak, ...
Acta Materialia 152, 41-57, 2018
Accelerating learning in multi-objective systems through transfer learning
A Taylor, I Dusparic, E Galvan-Lopez, S Clarke, V Cahill
2014 International joint conference on neural networks (IJCNN), 2298-2305, 2014
Transfer learning in multi-agent systems through parallel transfer
A Taylor, I Duparic, E Galván-López, S Clarke, V Cahill
Reusing code in genetic programming
E López, R Poli, C Coello
Genetic Programming, 359-368, 2004
locoGP: improving performance by genetic programming java source code
B Cody-Kenny, E Galván-López, S Barrett
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
Searching for novel regression functions
Y Martínez, E Naredo, L Trujillo, E Galván-López
2013 IEEE congress on evolutionary computation, 16-23, 2013
Tree-adjunct grammatical evolution
E Murphy, M O'Neill, E Galván-López, A Brabazon
IEEE Congress on Evolutionary Computation, 1-8, 2010
Efficient graph-based genetic programming representation with multiple outputs
E Galvan-Lopez
International Journal of Automation and Computing 5 (1), 81-89, 2008
Some steps towards understanding how neutrality affects evolutionary search
E Galván-López, R Poli
Parallel Problem Solving from Nature-PPSN IX, 778-787, 2006
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