The Markov Network Fitness Model-Reference-Cited by-同舟云学术

The Markov Network Fitness Model

Published:2012 Issue: Volume: Page:125-140
ISSN:1867-4534
Container-title:Adaptation, Learning, and Optimization
language:
Short-container-title:

Author:

Brownlee Alexander E. I.,McCall John A. W.,Shakya Siddhartha K.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-28900-2_8.pdf

Reference65 articles.

1. Lecture Notes in Computer Science;K. Abboud,2002

2. Baluja, S., Davies, S.: Using optimal dependency-trees for combinational optimization. In: ICML 1997: Proceedings of the Fourteenth International Conference on Machine Learning, pp. 30–38. Morgan Kaufmann Publishers Inc. (1997)

3. Bethke, A.: Genetic Algorithms as Function Optimizers. Ph.D. thesis, University of Mitchigan (1980)

4. Brownlee, A.E.I.: Multivariate Markov Networks for Fitness Modelling in an Estimation of Distribution Algorithm. Ph.D. thesis, Robert Gordon University, Aberdeen (2009), http://hdl.handle.net/10059/381

5. Brownlee, A.E.I., McCall, J.A.W., Brown, D.F.: Solving the MAXSAT problem using a multivariate EDA based on Markov networks. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007) (Late Breaking Papers), pp. 2423–2428. ACM Press, New York (2007)

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. Expanding variational autoencoders for learning and exploiting latent representations in search distributions;Proceedings of the Genetic and Evolutionary Computation Conference;2018-07-02

2. Customized Selection in Estimation of Distribution Algorithms;Lecture Notes in Computer Science;2014

3. Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms;Swarm, Evolutionary, and Memetic Computing;2013