 | 2012 |
| 17 |  | Santiago Muelas,
Antonio LaTorre,
José María Peña:
A new methodology for the automatic creation of adaptive hybrid algorithms.
Intell. Data Anal. 16(1): 3-23 (2012) |
| 2011 |
| 16 |  | Roberto Santana,
Santiago Muelas,
Antonio LaTorre,
Jose M. Peña:
A direct optimization approach to the P300 speller.
GECCO 2011: 1747-1754 |
| 15 |  | Antonio LaTorre,
Santiago Muelas,
José María Peña:
Benchmarking a hybrid DE-RHC algorithm on real world problems.
IEEE Congress on Evolutionary Computation 2011: 1027-1033 |
| 14 |  | Antonio LaTorre,
Santiago Muelas,
José María Peña,
Roberto Santana,
Ángel Merchán-Pérez,
José-Rodrigo Rodríguez:
A differential evolution algorithm for the detection of synaptic vesicles.
IEEE Congress on Evolutionary Computation 2011: 1687-1694 |
| 13 |  | Antonio LaTorre,
Santiago Muelas,
José María Peña:
A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test.
Soft Comput. 15(11): 2187-2199 (2011) |
| 2010 |
| 12 |  | Santiago Muelas,
José María Peña,
Antonio LaTorre:
Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions.
EvoApplications (1) 2010: 422-431 |
| 11 |  | Antonio LaTorre,
Santiago Muelas,
José María Peña:
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed.
GECCO (Companion) 2010: 1649-1656 |
| 10 |  | Antonio LaTorre,
Santiago Muelas,
José María Peña:
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed.
GECCO (Companion) 2010: 1725-1730 |
| 9 |  | Antonio LaTorre,
José María Peña,
Santiago Muelas,
Alex Alves Freitas:
Learning hybridization strategies in evolutionary algorithms.
Intell. Data Anal. 14(3): 333-354 (2010) |
| 8 |  | Santiago Muelas,
José María Peña,
Antonio LaTorre,
Víctor Robles:
A new initialization procedure for the distributed estimation of distribution algorithms.
Soft Comput. 15(4): 713-720 (2010) |
| 2009 |
| 7 |  | Antonio LaTorre,
José María Peña,
Santiago Muelas,
Manuel Zaforas:
Hybrid evolutionary algorithms for large scale continuous problems.
GECCO 2009: 1863-1864 |
| 6 |  | Luis Peña,
Antonio LaTorre,
José María Peña,
Sascha Ossowski:
Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards.
HAIS 2009: 336-343 |
| 5 |  | Antonio LaTorre,
José María Peña,
Santiago Muelas,
Carlos Pascual:
Quality measures to adapt the participation in MOS.
IEEE Congress on Evolutionary Computation 2009: 888-895 |
| 4 |  | Santiago Muelas,
Antonio LaTorre,
José María Peña:
A Memetic Differential Evolution Algorithm for Continuous Optimization.
ISDA 2009: 1080-1084 |
| 2008 |
| 3 |  | Antonio LaTorre,
José Manuel Peña,
Víctor Robles,
Santiago Muelas:
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems.
GECCO 2008: 1119-1120 |
| 2 |  | Santiago Muelas,
José Manuel Peña,
Víctor Robles,
Antonio LaTorre:
Voronoi-initializated island models for solving real-coded deceptive problems.
GECCO 2008: 993-1000 |
| 1 |  | Santiago Muelas,
José Manuel Peña,
Víctor Robles,
Antonio LaTorre,
P. de Miguel:
Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms.
Innovations in Hybrid Intelligent Systems 2008: 199-206 |