• Publications
  • Influence
Where Elitists Start Limping Evolution Strategies at Ridge Functions
How well an optimization algorithm satisfies short-term and long-term goals, can be verified using appropriate test functions, respective convergence measures, theoretical analysis, and simulations.Expand
  • 33
  • 2
Analysis of the (1, )-ES on the Parabolic Ridge
The progress rate of the (1 )-ES (Evolution Strategy) is analyzed on the parabolic ridge test function. A differentprogress behavior is observed for the (1, )-ES than for the sphere model testExpand
  • 29
  • 2
Analysis of the (/, )-ES on the Parabolic Ridge
The progress behavior of evolution strategies (ES) using recombination is analyzed in this paper on the parabolic ridge. This test function represents landscapes far from the optimum. The ESExpand
  • 21
  • 2
An alternative constraint handling method for evolution strategies
Most real-world search and optimization problems are faced with constraints, which must be satisfied by any acceptable solution. Although a plethora of research is spent on handling constraints inExpand
  • 28
Convergence behavior of evolution strategies on ridge functions
xiii
  • 17
Analysis of the (mu/mu, lambda)-ES on the parabolic ridge.
The progress behavior of evolution strategies (ES) using recombination is analyzed in this paper on the parabolic ridge. This test function represents landscapes far from the optimum. The ESExpand
Analysis of a Simple ESon the \ Parabolic Ridge "
The progress rate of the (1 +; ){ES (Evolution Strategy) is analyzed using the parabolic ridge test function. Some other theoretical quantities, which were necessary in this analysis, are derivedExpand
Convergence behavior of the (1^+,Lambda) evolution strategy on the ridge functions
The convergence behavior of $\onel$--ES is investigated at parabolic ridge, sharp ridge, and at the general case of the ridge functions. % (for larger values of the parameter $\alpha$). The progressExpand