2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
ELEA -- Build your own Evolutionary Algorithm in your Browser
Markus Wagner, Erik Kohlros, Gerome Quantmeyer +1
We provide an open source framework to experiment with evolutionary algorithms which we call "Experimenting and Learning toolkit for Evolutionary Algorithms (ELEA)". ELEA is browse…
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity
Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing +5
Population diversity is essential for avoiding premature convergence in Genetic Algorithms (GAs) and for the effective use of crossover. Yet the dynamics of how diversity emerges i…
Unbiased Black-Box Complexities of Jump Functions
Benjamin Doerr, Carola Doerr, Timo Kötzing
We analyze the unbiased black-box complexity of jump functions with small, medium, and large sizes of the fitness plateau surrounding the optimal solution. Among other results, we…
Simple Max-Min Ant Systems and the Optimization of Linear Pseudo-Boolean Functions
Timo Kötzing, Frank Neumann, Dirk Sudholt +1
With this paper, we contribute to the understanding of ant colony optimization (ACO) algorithms by formally analyzing their runtime behavior. We study simple MAX-MIN ant systems on…