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Estimation of Distribution Algorithms Book

Estimation of Distribution Algorithms
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  • Estimation of Distribution Algorithms
  • Written by author Pedro Larra aga
  • Published by Springer-Verlag New York, LLC, October 2001
  • Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms b
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Book Categories

Authors

List of Figures
List of Tables
Preface
Contributing Authors
Series Foreword
Pt. IFoundations
1An Introduction to Evolutionary Algorithms3
2An Introduction to Probabilistic Graphical Models27
3A Review on Estimation of Distribution Algorithms57
4Benefits of Data Clustering in Multimodal Function Optimization via EDAs101
5Parallel Estimation of Distribution Algorithms129
6Mathematical Modeling of Discrete Estimation of Distribution Algorithms147
Pt. IIOptimization
7An Empirical Comparison of Discrete Estimation of Distribution Algorithms167
8Results in Function Optimization with EDAs in Continuous Domain181
9Solving the 0-1 Knapsack Problem with EDAs195
10Solving the Traveling Salesman Problem with EDAs211
11EDAs Applied to the Job Shop Scheduling Problem231
12Solving Graph Matching with EDAs Using a Permutation-Based Representation243
Pt. IIIMachine Learning
13Feature Subset Selection by Estimation of Distribution Algorithms269
14Feature Weighting for Nearest Neighbor by EDAs295
15Rule Induction by Estimation of Distribution Algorithms313
16Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs323
17Comparing K-Means, GAs and EDAs in Partitional Clustering343
18Adjusting Weights in Artificial Neural Networks using Evolutionary Algorithms361
Index379


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