Distribution Tree-Building Real-Valued Evolutionary Algorithm

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Distribution Tree-Building Real-Valued Evolutionary Algorithm
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting properties and can form a solid basis for further improvements which will make it even more competitive. Several comparative experiments on continuous real-valued optimization problems were carried out and the results are promising. It outperformed the genetic algorithm using the traditional crossover operator several times, in the majority of the remaining experiments it was comparable to the genetic algorithm performance.
Petr Posik
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PPSN
Authors Petr Posik
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