A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization
Estimation of distribution algorithms are considered to be a new class of evolutionary algorithms which are applied as an alternative to genetic algorithms. Such algorithms sample the new generation from a probabilistic model of promising solutions. The search space of the optimization problem is im...
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Veröffentlicht in: | Genetic programming and evolvable machines 2016-06, Vol.17 (2), p.145-167 |
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