96 citations · 376 across the 69 of their papers we have counts for
8 papers · 1 filter
Analysis of the (1+1) EA on LeadingOnes with Constraints
Tobias Friedrich, Timo Kötzing, Aneta Neumann +2
Understanding how evolutionary algorithms perform on constrained problems has gained increasing attention in recent years. In this paper, we study how evolutionary algorithms optim…
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments
Adel Nikfarjam, Ralf Rothenberger, Frank Neumann +1
Computing diverse solutions for a given problem, in particular evolutionary diversity optimisation (EDO), is a hot research topic in the evolutionary computation community. This pa…
Theoretical Study of Optimizing Rugged Landscapes with the cGA
Tobias Friedrich, Timo Kötzing, Frank Neumann +1
Estimation of distribution algorithms (EDAs) provide a distribution - based approach for optimization which adapts its probability distribution during the run of the algorithm. We…
Towards Explainable Real Estate Valuation via Evolutionary Algorithms
Sebastian Angrick, Ben Bals, Niko Hastrich +6
Human lives are increasingly influenced by algorithms, which therefore need to meet higher standards not only in accuracy but also with respect to explainability. This is especiall…
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…
The Benefit of Sex in Noisy Evolutionary Search
Tobias Friedrich, Timo Kötzing, Martin Krejca +1
The benefit of sexual recombination is one of the most fundamental questions both in population genetics and evolutionary computation. It is widely believed that recombination help…