E-LIB Suche - Ergebnisse für: Otero, Fernando E. B.

1

Exploratory path planning for mobile robots in dynamic envi..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference,

de C. Santos, Valéria ; Otero, Fernando E. B. ; Johnson, Colin.. - p. 40-48 , 2020

Link: https://dl.acm.org/doi/1..

2

A multiobjective optimization approach for market timing:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference,

Mohamed, Ismail ; Otero, Fernando E. B. - p. 22-30 , 2020

Link: https://dl.acm.org/doi/1..

3

MYRA : a Java ant colony optimization framework for clas..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Otero, Fernando E. B. - p. 1247-1254 , 2017

Link: https://dl.acm.org/doi/1..

4

Evolving trading strategies using directional changes:

Kampouridis, Michael ; Otero, Fernando E.B.
Expert Systems with Applications. 73 (2017) - p. 145-160 , 2017

Link: https://doi.org/10.1016/..

5

Automatic design of ant-miner mixed attributes for classifi..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,

Helal, Ayah ; Otero, Fernando E. B. - p. 433-440 , 2017

Link: https://dl.acm.org/doi/1..

6

A Dispersion Operator for Geometric Semantic Genetic Progra..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference 2016,

Oliveira, Luiz Otavio V.B. ; Otero, Fernando E.B. ; Pappa, Gisele L. - p. 773-780 , 2016

Link: https://dl.acm.org/doi/1..

7

Improving the Interpretability of Classification Rules Disc..:

Otero, Fernando E. B. ; Freitas, Alex A.
Evolutionary Computation. 24 (2016) 3 - p. 385-409 , 2016

Link: https://doi.org/10.1162/..

8

Using an Ant Colony Optimization Algorithm for Monotonic Re..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference 2016,

Brookhouse, James ; Otero, Fernando E.B. - p. 437-444 , 2016

Link: https://dl.acm.org/doi/1..

9

A Mixed-Attribute Approach in Ant-Miner Classification Rule..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference 2016,

Helal, Ayah ; Otero, Fernando E.B. - p. 13-20 , 2016

Link: https://dl.acm.org/doi/1..

10

Medoid-based clustering using ant colony optimization:

Menéndez, Héctor D. ; Otero, Fernando E. B. ; Camacho, David
Swarm Intelligence. 10 (2016) 2 - p. 123-145 , 2016

Link: https://doi.org/10.1007/..

11

Heuristic procedures for improving the predictability of a ..:

Kampouridis, Michael ; Otero, Fernando E. B.
Soft Computing. 21 (2015) 2 - p. 295-310 , 2015

Link: https://doi.org/10.1007/..

12

Discovering Regression Rules with Ant Colony Optimization:

, In: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation,

Brookhouse, James ; Otero, Fernando E.B. - p. 1005-1012 , 2015

Link: https://dl.acm.org/doi/1..

13

An ant colony-based semi-supervised approach for learning c..:

Albinati, Julio ; Oliveira, Samuel E. L. ; Otero, Fernando E. B..
Swarm Intelligence. 9 (2015) 4 - p. 315-341 , 2015

Link: https://doi.org/10.1007/..

14

Working with OpenCL to speed up a genetic programming finan..:

, In: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation,

Brookhouse, James ; Otero, Fernando E.B. ; Kampouridis, Michael - p. 1117-1124 , 2014

Link: https://dl.acm.org/doi/1..

15

Thematic issue on advances in nature inspired cooperative s..:

Otero, Fernando E. B. ; Masegosa, Antonio D. ; Terrazas, Germán
Memetic Computing. 6 (2014) 3 - p. 147-148 , 2014

Link: https://doi.org/10.1007/..