Schemata, Distributions and Graphical Models in Evolutionary Optimization
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Heinz Mühlenbein | Thilo Mahnig | Alberto Ochoa-Rodríguez | T. Mahnig | H. Mühlenbein | Alberto Ochoa-Rodríguez
[1] M. Pelikán,et al. The Bivariate Marginal Distribution Algorithm , 1999 .
[2] Heinz Mühlenbein,et al. The Equation for Response to Selection and Its Use for Prediction , 1997, Evolutionary Computation.
[3] Kalyanmoy Deb,et al. RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms , 1993, ICGA.
[4] Michael I. Jordan. Graphical Models , 1998 .
[5] Heinz Mühlenbein,et al. FDA -A Scalable Evolutionary Algorithm for the Optimization of Additively Decomposed Functions , 1999, Evolutionary Computation.
[6] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[7] Brendan J. Frey,et al. Graphical Models for Machine Learning and Digital Communication , 1998 .
[8] Heinz Mühlenbein,et al. Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization , 1993, Evolutionary Computation.
[9] Paul A. Viola,et al. MIMIC: Finding Optima by Estimating Probability Densities , 1996, NIPS.
[10] Bruce Tidor,et al. An Analysis of Selection Procedures with Particular Attention Paid to Proportional and Boltzmann Selection , 1993, International Conference on Genetic Algorithms.
[11] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[12] L. Darrell Whitley,et al. Test driving three 1995 genetic algorithms: New test functions and geometric matching , 1995, J. Heuristics.
[13] John H. Holland,et al. Distributed genetic algorithms for function optimization , 1989 .
[14] S. Baluja,et al. Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space , 1997 .
[15] Heinz Mühlenbein,et al. The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA) , 1993, Evolutionary Computation.
[16] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[17] Gang Wang,et al. Revisiting the GEMGA: scalable evolutionary optimization through linkage learning , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[18] David E. Goldberg,et al. SEARCH, Blackbox Optimization, And Sample Complexity , 1996, FOGA.