Genetic and Evolutionary Computation COnference

GECCO-2005

Table of Contents

Author Index

Estimation of Distribution Algorithms 

Extracted Global Structure Makes Local Building Block 
Processing Effective in XCS  (page 655)
M. V. Butz (University of Würzburg)
M. Pelikan (University of Missouri at St. Louis)
X. Llorà, D. E. Goldberg (University of Illinois at Urbana-Champaign)

Multiobjective hBOA, Clustering, and Scalability  (page 663)
M. Pelikan (University of Missouri at St. Louis)
K. Sastry, D. E. Goldberg (University of Illinois at Urbana-Champaign)

Sub-Structural Niching in Estimation of Distribution Algorithms  (page 671)
K. Sastry (University of Illinois at Urbana-Champaign)
H. A. Abbass (University of New South Wales)
D. E. Goldberg, D. D. Johnson (University of Illinois at Urbana-Champaign)

Not All Linear Functions Are Equally Difficult for the Compact 
Genetic Algorithm  (page 679)
S. Droste (Universität Dortmund)

Learned Mutation Strategies in Genetic Programming for Evolution and Adaptation of Simulated Snakebot  (page 687) (Return to Top)
I. Tanev (Doshisha University)

On the Convergence of an Estimation of Distribution Algorithm 
Based on Linkage Discovery and Factorization  (page 695)
A. H. Wright, S. V. P. M. S. Pulavarty (University of Montana)

Real-coded Crossover as a Role of Kernel Density Estimation  (page 703)
J. Sakuma, S. Kobayashi (Tokyo Institute of Technology)

Population-Based Incremental Learning with Memory 
Scheme for Changing Environments  (page 711)
S. Yang (University of Leicester)

On the Importance of Diversity Maintenance in Estimation 
of Distribution Algorithms  (page 719)
B. Yuan, M. Gallagher (The University of Queensland)

Using a Markov Network Model in a Univariate EDA: 
An Empirical Cost-Benefit Analysis  (page 727)
S. Shakya, J. McCall, D. Brown (The Robert Gordon University)

Combining Competent Crossover and Mutation Operators: 
a Probabilistic Model Building Approach  (page 735)
C. F. Lima (University of Algarve)
K. Sastry, D. E. Goldberg (University of Illinois at Urbana-Champaign)
F. G. Lobo (University of Algarve)

Estimation of Distribution Algorithms: Posters                   (Return to Top)

Genetic Drift in Univariate Marginal Distribution Algorithm  (page 745)
Y. Hong, Q. Ren, J. Zeng (Shanghai Jiaotong University)

Learning Computer Programs with the Bayesian Optimization Algorithm  (page 747)
M. Looks (Object Sciences Corporation)
B. Goertzel, C. Pennachin (Novamente LLC)

Multiobjective Shape Optimization with Constraints based 
on Estimation Distribution Algorithms and Correlated Information  (page 749)
S. I. Valdez Peña, S. Botello-Rionda, A. Hernández Aguirre 
(Center for Research in Mathematics (CIMAT))

A Comparative Study of Probability Collectives Based Multi-agent 
Systems and Genetic Algorithms  (page 751)
C.-F. Huang (Los Alamos National Laboratories)
S. Bieniawski (Stanford University)
D. H. Wolpert (NASA Ames Research Center)
C. E. M. Strauss (Los Alamos National Laboratories)