FOGA A

11 papers

YearTitle / Authors
2021Asymptotic convergence rates for averaging strategies.
Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
2021Automatic adaptation of hypermutation rates for multimodal optimisation.
Dogan Corus, Pietro S. Oliveto, Donya Yazdani
2021Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation.
Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann
2021Do additional optima speed up evolutionary algorithms?
Jakob Bossek, Dirk Sudholt
2021FOGA '21: Foundations of Genetic Algorithms XVI, Virtual Event, Austria, September 6-8, 2021
Steffen Finck, Michael Hellwig, Pietro S. Oliveto
2021Focused jump-and-repair constraint handling for fixed-parameter tractable graph problems.
Luke Branson, Andrew M. Sutton
2021Non-local optimization: imposing structure on optimization problems by relaxation.
Nils Müller, Tobias Glasmachers
2021On crossing fitness valleys with majority-vote crossover and estimation-of-distribution algorithms.
Carsten Witt
2021On the potential of normalized TSP features for automated algorithm selection.
Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke
2021Self-adjusting offspring population sizes outperform fixed parameters on the cliff function.
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2021The effect of non-symmetric fitness: the analysis of crossover-based algorithms on RealJump functions.
Denis Antipov, Semen Naumov