Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms

Author:

Grahl Jörn,Minner Stefan,Bosman Peter A.N.

Publisher

Springer Berlin Heidelberg

Reference88 articles.

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2. T. W. Anderson. An Introduction to Multivariate Statistical Analysis. John Wiley & Sons Inc., New York, 1958

3. S. Andradottir. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice, Chapter 9, Simulation Optimization. John Wiley, New York, 1998

4. S. Baluja. Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, Carnegie Mellon University, 1994

5. S. Baluja and S. Davies. Using optimal dependency-trees for combinatorial optimization: Learning the structure of the search space. In D.H. Fisher, editor, Proceedings of the 1997 International Conference on Machine Learning, pages 30–38, Madison, Wisconsin, 1997 Morgan Kaufmann.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimation of Distribution Algorithms;Springer Handbook of Computational Intelligence;2015

2. A review of message passing algorithms in estimation of distribution algorithms;Natural Computing;2014-12-23

3. Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming;Mathematical Problems in Engineering;2013

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