The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis
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In their recent work, Lehre and Nguyen (2019) show that the univariate marginal distribution algorithm (UMDA) needs time exponential in the parent populations size to optimize the DeceptiveLeadingBlocks (DLB) problem. They conclude from this result that univar... ...
