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Estimation of Distribution Algorithms 2002
- Pedro Larrañaga, José Antonio Lozano:
Estimation of Distribution Algorithms. Genetic Algorithms and Evolutionary Computation, Springer 2002, ISBN 978-1-4613-5604-2 - José Antonio Lozano:
An Introduction to Evolutionary Algorithms. 3-25 - Pedro Larrañaga:
An Introduction to Probabilistic Graphical Models. 27-56 - Pedro Larrañaga:
A Review on Estimation of Distribution Algorithms. 57-100 - José M. Peña, José Antonio Lozano, Pedro Larrañaga:
Benefits of Data Clustering in Multimodal Function Optimization via EDAs. 101-127 - José Antonio Lozano, Ramón Sagarna, Pedro Larrañaga:
Parallel Estimation of Distribution Algorithms. 129-145 - Cristina González, José Antonio Lozano, Pedro Larrañaga:
Mathematical Modeling of Discrete Estimation of Distribution Algorithms. 147-163 - Rosa Blanco, José Antonio Lozano:
An Empirical Comparison of Discrete Estimation of Distribution Algorithms. 167-180 - Endika Bengoetxea, Teresa Miquélez, Pedro Larrañaga, José Antonio Lozano:
Experimental Results in Function Optimization with EDAs in Continuous Domain. 181-194 - Ramón Sagarna, Pedro Larrañaga:
Solving the 0-1 Knapsack Problem with EDAs. 195-209 - Víctor Robles, P. de Miguel, Pedro Larrañaga:
Solving the Traveling Salesman Problem with EDAs. 211-229 - José Antonio Lozano, Alexander Mendiburu:
Estimation of Distribution Algorithms Applied to the Job Shop Scheduling Problem: Some Preliminary Research. 231-242 - Endika Bengoetxea, Pedro Larrañaga, Aymeric Perchant, Isabelle Bloch:
Solving Graph Matching with EDAs Using a Permutation-Based Representation. 243-265 - Iñaki Inza
, Pedro Larrañaga, Basilio Sierra
Feature Subset Selection by Estimation of Distribution Algorithms. 269-293 - Iñaki Inza
Feature Weighting for Nearest Neighbor by Estimation of Distribution Algorithms. 295-311 - Basilio Sierra
Rule Induction by Estimation of Distribution Algorithms. 313-322 - L. M. Campos, José A. Gámez, Pedro Larrañaga, Serafín Moral, Txomin Romero:
Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs. 323-341 - Josep Roure, Pedro Larrañaga, Ramon Sangüesa:
An Empirical Comparison Between K-Means, GAs and EDAs in Partitional Clustering. 343-360 - Carlos Cotta, Enrique Alba, Ramón Sagarna, Pedro Larrañaga:
Adjusting Weights in Artificial Neural Networks using Evolutionary Algorithms. 361-377
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