Significance-based Estimation-of-Distribution Algorithms

10 Jul 2018 Benjamin Doerr Martin Krejca

Estimation-of-distribution algorithms (EDAs) are randomized search heuristics that create a probabilistic model of the solution space, which is updated iteratively, based on the quality of the solutions sampled according to the model. As previous works show, this iteration-based perspective can lead to erratic updates of the model, in particular, to bit-frequencies approaching a random boundary value... (read more)

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