Exploitation of Linkage Learning in Evolutionary Algorithms

I. Linkage and Problem Structures

1. Linkage Structure and Genetic Evolutionary Algorithms
Susan Khor

2. Fragment as a Small Evidence of the Building Blocks Existence
Chalermsub Sangkavichitr, Prabhas Chongstitvatana

3. Structure Learning and Optimisation in a Markov Network Based Estimation of Distribution Algorithm
Alexander E. I. Brownlee, John A. W. McCall, Siddhartha K. Shakya, Qingfu Zhang

4. DEUM – A Fully Multivariate EDA Based on Markov Networks
Siddhartha Shakya, Alexander Brownlee, John McCall, François Fournier, Gilbert Owusu

II. Model Building and Exploiting

5. Pairwise Interactions Induced Probabilistic Model Building
David Iclănzan, D. Dumitrescu, Béat Hirsbrunner

6. ClusterMI: Building Probabilistic Models Using Hierarchical Clustering and Mutual Information
Thyago S. P. C. Duque, David E. Goldberg

7. Estimation of Distribution Algorithm Based on Copula Theory
Li-Fang Wang, Jian-Chao Zeng

8. Analyzing the k Most Probable Solutions in EDAs Based on Bayesian Networks
Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, Jose A. Lozano

III. Applications

9. Protein Structure Prediction Based on HP Model Using an Improved Hybrid EDA
Benhui Chen, Jinglu Hu

10. Sensible Initialization of a Computational Evolution System Using Expert Knowledge for Epistasis Analysis in Human Genetics
Joshua L. Payne, Casey S. Greene, Douglas P. Hill, Jason H. Moore

11. Estimating Optimal Stopping Rules in the Multiple Best Choice Problem with Minimal Summarized Rank via the Cross-Entropy Method
T. V. Polushina

Nyckelord: Engineering, Appl.Mathematics/Computational Methods of Engineering, Artificial Intelligence (incl. Robotics), Applications of Mathematics