A Mixed Bayesian Optimization Algorithm with Variance Adaptation
- 1 January 2004
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Learning probability distributions in continuous evolutionary algorithms – a comparative reviewNatural Computing, 2004
- Evaluating the CMA Evolution Strategy on Multimodal Test FunctionsPublished by Springer Nature ,2004
- Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)Evolutionary Computation, 2003
- Estimation of Distribution AlgorithmsPublished by Springer Nature ,2002
- Completely Derandomized Self-Adaptation in Evolution StrategiesEvolutionary Computation, 2001
- Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The ID$$ \mathbb{E} $$APublished by Springer Nature ,2000
- Learning Bayesian Networks with Local StructurePublished by Springer Nature ,1998
- From recombination of genes to the estimation of distributions I. Binary parametersPublished by Springer Nature ,1996
- Learning Bayesian Networks: The Combination of Knowledge and Statistical DataPublished by Elsevier ,1994