| Estimation
of Distribution Algorithms: Papers
Probabilistic
Modeling for Continuous EDA with Boltzmann Selection and Kullback-Leibeler
Divergence
(Page 389)
C. Yunpeng, S. Xiaomin, J. Peifa (Tsinghua University)
The
Correlation-Triggered Adaptive Variance Scaling IDEA
(Page 397)
J. Grahl (Mannheim Business School)
P. A. N. Bosman (Centre for Mathematics and Computer
Science)
F. Rothlauf (Mannheim Business School)
Sporadic
Model Building for Efficiency Enhancement of Hierarchical BOA
(Page 405)
M. Pelikan (University of Missouri-St. Louis)
K. Sastry, D. E. Goldberg (University of Illinois
at Urbana-Champaign)
Optimising
Cancer Chemotherapy Using an Estimation of Distribution Algorithm and
Genetic Algorithms
(Page 413)
A. Petrovski, S. Shakya, J. McCall (The Robert Gordon
University)
Evaluation
Relaxation Using Substructural Information and Linear Estimation
(Page 419)
K. Sastry (University of Illinois at Urbana-Champaign)
C. F. Lima (University of Algarve)
D. E. Goldberg (University of Illinois at Urbana-Champaign)
Estimation
of Distribution Algorithms: Posters
Levels
of Abstraction in Modeling and Sampling: The Feature-Based Bayesian
Optimization Algorithm
(Page 429)
M. Looks (Washington University at St. Louis)
Hierarchical
BOA on Random Decomposable Problems
(Page 431)
M. Pelikan (University of Missouri-St. Louis)
K. Sastry (University of Illinois at Urbana-Champaign)
M. V. Butz (University of Würzburg)
D. E. Goldberg (University of Illinois at Urbana-Champaign)
Does
Overfitting Affect Performance in Estimation of Distribution Algorithms
(Page 433)
H. Wu, J. L. Shapiro (The University of Manchester)
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