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20112022
most citedSelf-Adjusting Evolutionary Algorithms for Multimodal Optimization

55 citations · 137 across the 10 of their papers we have counts for

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cs.NE20223 cited

The Compact Genetic Algorithm Struggles on Cliff Functions

Frank Neumann, Dirk Sudholt, Carsten Witt

The compact genetic algorithm (cGA) is an non-elitist estimation of distribution algorithm which has shown to be able to deal with difficult multimodal fitness landscapes that are…

cs.NE2021

Stagnation Detection in Highly Multimodal Fitness Landscapes

Amirhossein Rajabi, Carsten Witt

Stagnation detection has been proposed as a mechanism for randomized search heuristics to escape from local optima by automatically increasing the size of the neighborhood to find…

cs.NE20211 cited

On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials is Best

Dogan Corus, Andrei Lissovoi, Pietro S. Oliveto +1

We analyse the impact of the selective pressure for the global optimisation capabilities of steady-state EAs. For the standard bimodal benchmark function \twomax we rigorously prov…

cs.NE202125 cited

Stagnation Detection with Randomized Local Search

Amirhossein Rajabi, Carsten Witt

Recently a mechanism called stagnation detection was proposed that automatically adjusts the mutation rate of evolutionary algorithms when they encounter local optima. The so-calle…

cs.NE2020

Improved Runtime Results for Simple Randomised Search Heuristics on Linear Functions with a Uniform Constraint

Frank Neumann, Mojgan Pourhassan, Carsten Witt

In the last decade remarkable progress has been made in development of suitable proof techniques for analysing randomised search heuristics. The theoretical investigation of these…

cs.NE2020

Evolutionary Algorithms with Self-adjusting Asymmetric Mutation

Amirhossein Rajabi, Carsten Witt

Evolutionary Algorithms (EAs) and other randomized search heuristics are often considered as unbiased algorithms that are invariant with respect to different transformations of the…