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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 10 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
13 years 10 months ago
An application of EDA and GA to dynamic pricing
E-commerce has transformed the way firms develop their pricing strategies, producing shift away from fixed pricing to dynamic pricing. In this paper, we use two different Estim...
Siddhartha Shakya, Fernando Oliveira, Gilbert Owus...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 11 months ago
Why one must use reweighting in estimation of distribution algorithms
We study the update of the distribution in Estimation of Distribution Algorithms, and show that a simple modification leads to unbiased estimates of the optimum. The simple modi...
Fabien Teytaud, Olivier Teytaud
CEC
2009
IEEE
13 years 11 months ago
Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins
—Univariate Marginal Distribution Algorithms (UMDAs) are a kind of Estimation of Distribution Algorithms (EDAs) which do not consider the dependencies among the variables. In thi...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao