Exploitation of Linkage Learning in Evolutionary Algorithms /
| Corporate Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
|
| Edition: | 1st ed. 2010. |
| Series: | Adaptation, Learning, and Optimization,
3 |
| Subjects: |
Table of Contents:
- Linkage and Problem Structures
- Linkage Structure and Genetic Evolutionary Algorithms
- Fragment as a Small Evidence of the Building Blocks Existence
- Structure Learning and Optimisation in a Markov Network Based Estimation of Distribution Algorithm
- DEUM - A Fully Multivariate EDA Based on Markov Networks
- Model Building and Exploiting
- Pairwise Interactions Induced Probabilistic Model Building
- ClusterMI: Building Probabilistic Models Using Hierarchical Clustering and Mutual Information
- Estimation of Distribution Algorithm Based on Copula Theory
- Analyzing the k Most Probable Solutions in EDAs Based on Bayesian Networks
- Applications
- Protein Structure Prediction Based on HP Model Using an Improved Hybrid EDA
- Sensible Initialization of a Computational Evolution System Using Expert Knowledge for Epistasis Analysis in Human Genetics
- Estimating Optimal Stopping Rules in the Multiple Best Choice Problem with Minimal Summarized Rank via the Cross-Entropy Method.