2008 |
20 | EE | Rodrigo Cilla,
Miguel A. Patricio,
Antonio Berlanga,
José M. Molina:
On the Process of Designing an Activity Recognition System Using Symbolic and Subsymbolic Techniques.
DCAI 2008: 729-738 |
19 | EE | Luis Martí,
Jesús García,
Antonio Berlanga,
José M. Molina:
Scalable Continuous Multiobjective Optimization with a Neural Network-Based Estimation of Distribution Algorithm.
EvoWorkshops 2008: 535-544 |
18 | EE | Luis Martí,
Jesús García,
Antonio Berlanga,
José Manuel Molina:
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm.
GECCO 2008: 689-696 |
17 | EE | Miguel A. Patricio,
Jesús García,
Antonio Berlanga,
José M. Molina:
Solving video-association problem with explicit evaluation of hypothesis using EDAs.
IEEE Congress on Evolutionary Computation 2008: 2629-2636 |
16 | EE | Luis Martí,
Jesús García,
Antonio Berlanga,
José Manuel Molina:
Model-building algorithms for multiobjective EDAs: Directions for improvement.
IEEE Congress on Evolutionary Computation 2008: 2843-2850 |
2007 |
15 | EE | Luis Martí,
Jesús García,
Antonio Berlanga,
José Manuel Molina:
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms.
GECCO 2007: 911 |
14 | EE | Luis Martí,
Jesús García,
Antonio Berlanga,
José Manuel Molina:
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms.
GECCO (Companion) 2007: 2835-2842 |
13 | EE | María J. Pérez-Fructuoso,
Almudena García,
Antonio Berlanga,
José M. Molina López:
Adjusting the Generalized Pareto Distribution with Evolution Strategies - An application to a Spanish Motor Liability Insurance Database.
IDEAL 2007: 1010-1019 |
12 | EE | Miguel Ángel Patricio Guisado,
Jesús García,
Antonio Berlanga,
José M. Molina:
Video Tracking Association Problem Using Estimation of Distribution Algorithms in Complex Scenes.
IWINAC (2) 2007: 261-270 |
11 | EE | Jesús García,
Antonio Berlanga,
José M. Molina:
Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies.
Advanced Engineering Informatics 21(1): 3-21 (2007) |
2005 |
10 | EE | Óscar Pérez,
Jesús García,
Antonio Berlanga,
José M. Molina:
Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning.
EvoWorkshops 2005: 386-395 |
9 | EE | Óscar Pérez,
Jesús García,
Antonio Berlanga,
José M. Molina:
Adjustment of Surveillance Video Systems by a Performance Evaluation Function.
IWINAC (2) 2005: 499-508 |
8 | EE | Jesús García,
Antonio Berlanga,
José M. Molina,
José R. Casar Corredera:
Optimization of airport ground operations integrating genetic and dynamic flow management algorithms.
AI Commun. 18(2): 143-164 (2005) |
7 | EE | Jesús García Herrero,
Antonio Berlanga,
José M. Molina López,
José R. Casar Corredera:
Methods for Operations Planning in Airport Decision Support Systems.
Appl. Intell. 22(3): 183-206 (2005) |
2004 |
6 | EE | J. A. Besada,
José M. Molina,
Jesús García,
Antonio Berlanga,
Javier I. Portillo:
Aircraft identification integrated into an airport surface surveillance video system.
Mach. Vis. Appl. 15(3): 164-171 (2004) |
2002 |
5 | EE | Antonio Berlanga,
Araceli Sanchís,
Pedro Isasi,
José M. Molina López:
Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior.
Journal of Intelligent and Robotic Systems 33(2): 139-166 (2002) |
2001 |
4 | EE | Agapito Ledezma,
Antonio Berlanga,
Ricardo Aler:
Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills.
IWANN (1) 2001: 799-806 |
2000 |
3 | | Antonio Berlanga,
Pedro Isasi,
Araceli Sanchis de Miguel,
José M. Molina:
Uniform Coevolution for solving the density classification problem in Cellular Automata.
GECCO 2000: 383 |
1999 |
2 | | Antonio Berlanga,
José M. Molina,
Araceli Sanchís,
Pedro Isasi:
Applying Evolution Strategies to Neural Networks Robot Controller.
IWANN (2) 1999: 516-525 |
1 | | Pedro Isasi,
Araceli Sanchís,
José M. Molina,
Antonio Berlanga:
A Computational Model of Evolution: Haploidy versus Diploidy.
Computers and Artificial Intelligence 18(6): (1999) |