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Space Complexity of Estimation of Distribution Algorithms

Evolutionary Computation, 2005
In this paper, we investigate the space complexity of the Estimation of Distribution Algorithms (EDAs), a class of sampling-based variants of the genetic algorithm. By analyzing the nature of EDAs, we identify criteria that characterize the space complexity of two typical implementation schemes of EDAs, the factorized distribution algorithm and ...
Yong, Gao, Joseph, Culberson
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Subspace estimation of distribution algorithms: To perturb part of all variables in estimation of distribution algorithms

Applied Soft Computing Journal, 2011
Abstract: In the traditional estimation of distribution algorithms (EDAs), all the variables of candidate individuals are perturbed through sampling from a probability distribution of promising individuals. However, it may be unnecessary for the EDAs to perturb all variables of candidate individuals at each generation.
Yi Hong, Sam Tak Wu Kwong
exaly   +2 more sources

Unbiasedness of estimation-of-distribution algorithms

Theoretical Computer Science, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tobias Friedrich   +2 more
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