research
          
      
      ∙
      07/29/2019
    On the Limitations of the Univariate Marginal Distribution Algorithm to Deception and Where Bivariate EDAs might help
We introduce a new benchmark problem called Deceptive Leading Blocks (DL...
          
            research
          
      
      ∙
      04/19/2019
    Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise
We perform a rigorous runtime analysis for the Univariate Marginal Distr...
          
            research
          
      
      ∙
      07/26/2018
    Level-Based Analysis of the Univariate Marginal Distribution Algorithm
Estimation of Distribution Algorithms (EDAs) are stochastic heuristics t...
          
            research
          
      
      ∙
      06/05/2018
    Level-Based Analysis of the Population-Based Incremental Learning Algorithm
The Population-Based Incremental Learning (PBIL) algorithm uses a convex...
          
            research
          
      
      ∙
      04/17/2018
    Memetic Algorithms Beat Evolutionary Algorithms on the Class of Hurdle Problems
Memetic algorithms are popular hybrid search heuristics that integrate l...
          
            research
          
      
      ∙
      02/02/2018