Abstract is missing.
- An Introduction to Evolutionary AlgorithmsJosé Antonio Lozano. 3-25 [doi]
- An Introduction to Probabilistic Graphical ModelsPedro Larrañaga. 27-56 [doi]
- A Review on Estimation of Distribution AlgorithmsPedro Larrañaga. 57-100 [doi]
- Benefits of Data Clustering in Multimodal Function Optimization via EDAsJ. M. Peña, José Antonio Lozano, Pedro Larrañaga. 101-127 [doi]
- Parallel Estimation of Distribution AlgorithmsJosé Antonio Lozano, Ramón Sagarna, Pedro Larrañaga. 129-145 [doi]
- Mathematical Modeling of Discrete Estimation of Distribution AlgorithmsCristina González, José Antonio Lozano, Pedro Larrañaga. 147-163 [doi]
- An Empirical Comparison of Discrete Estimation of Distribution AlgorithmsRosa Blanco, José Antonio Lozano. 167-180 [doi]
- Experimental Results in Function Optimization with EDAs in Continuous DomainEndika Bengoetxea, Teresa Miquélez, Pedro Larrañaga, José Antonio Lozano. 181-194 [doi]
- Solving the 0-1 Knapsack Problem with EDAsRamón Sagarna, Pedro Larrañaga. 195-209 [doi]
- Solving the Traveling Salesman Problem with EDAsVíctor Robles, P. de Miguel, Pedro Larrañaga. 211-229 [doi]
- Estimation of Distribution Algorithms Applied to the Job Shop Scheduling Problem: Some Preliminary ResearchJosé Antonio Lozano, Alexander Mendiburu. 231-242 [doi]
- Solving Graph Matching with EDAs Using a Permutation-Based RepresentationEndika Bengoetxea, Pedro Larrañaga, Aymeric Perchant, Isabelle Bloch. 243-265 [doi]
- Feature Subset Selection by Estimation of Distribution AlgorithmsIñaki Inza, Pedro Larrañaga, Basilio Sierra. 269-293 [doi]
- Feature Weighting for Nearest Neighbor by Estimation of Distribution AlgorithmsIñaki Inza, Pedro Larrañaga, Basilio Sierra. 295-311 [doi]
- Rule Induction by Estimation of Distribution AlgorithmsBasilio Sierra, E. A. Jiménez, Iñaki Inza, Pedro Larrañaga, J. Muruzábal. 313-322 [doi]
- Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAsL. M. Campos, J. A. Gámez, Pedro Larrañaga, Serafín Moral, Txomin Romero. 323-341 [doi]
- An Empirical Comparison Between K-Means, GAs and EDAs in Partitional ClusteringJosep Roure, Pedro Larrañaga, Ramon Sangüesa. 343-360 [doi]
- Adjusting Weights in Artificial Neural Networks using Evolutionary AlgorithmsC. Cotta, E. Alba, Ramón Sagarna, Pedro Larrañaga. 361-377 [doi]