Markov Networks in Evolutionary Computation

• Corporate Author: SpringerLink (Online service)
• Other Authors: Shakya, Siddhartha (Editor), Santana, Roberto (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Adaptation, Learning, and Optimization, 14
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Evolutionary economics.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Institutional/Evolutionary Economics.

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs).  EDAs have arisen as one of the most successful experiences in the application of...

Table of Contents:

• From the content: Probabilistic Graphical Models and Markov Networks
• A review of Estimation of Distribution Algorithms and Markov networks
• MOA - Markovian Optimisation Algorithm
• DEUM - Distribution Estimation Using Markov Networks
• MN-EDA and the use of clique-based factorisations in EDAs
• Convergence Theorems of Estimation of Distribution Algorithms
• Adaptive Evolutionary Algorithm based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure.