Markov Networks in Evolutionary Computation

1. Probabilistic Graphical Models and Markov Networks
Roberto Santana, Siddhartha Shakya

2. A Review of Estimation of Distribution Algorithms and Markov Networks
Siddhartha Shakya, Roberto Santana

3. MOA - Markovian Optimisation Algorithm
Siddhartha Shakya, Roberto Santana

4. DEUM - Distribution Estimation Using Markov Networks
Siddhartha Shakya, John McCall, Alexander Brownlee, Gilbert Owusu

5. MN-EDA and the Use of Clique-Based Factorisations in EDAs
Roberto Santana

6. Convergence Theorems of Estimation of Distribution Algorithms
Heinz Mühlenbein

7. Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure
Eunice Esther Ponce-de-Leon-Senti, Elva Diaz-Diaz

8. The Markov Network Fitness Model
Alexander E. I. Brownlee, John A. W. McCall, Siddhartha K. Shakya

9. Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation
Alexander Mendiburu, Roberto Santana, Jose A. Lozano

10. Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga

11. Using Maximum Entropy and Generalized Belief Propagation in Estimation of Distribution Algorithms
Robin Höns

12. Applications of Distribution Estimation Using Markov Network Modelling (DEUM)
John McCall, Alexander Brownlee, Siddhartha Shakya

13. Vine Estimation of Distribution Algorithms with Application to Molecular Docking
Marta Soto, Alberto Ochoa, Yasser González-Fernández, Yanely Milanés, Adriel Álvarez, Diana Carrera, Ernesto Moreno

14. EDA-RL: EDA with Conditional Random Fields for Solving Reinforcement Learning Problems
Hisashi Handa

Nyckelord: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Game Theory/Mathematical Methods