引用次数
引用: 4,056
H-指数: 36
I10-指数 : 103
出版物: 167
Design and analysis of an asymmetric mutation operator
T. Jansen , D. Sudholt
congress on evolutionary computation 1 190 -197
10
2005
Computational complexity of evolutionary algorithms, hybridizations, and swarm intelligence
Dirk Sudholt
10
2008
On the influence of pheromone updates in ACO algorithms
Dirk Sudholt , Benjamin Doerr , Carsten Witt , Frank Neumann
Deutsche Nationalbibliothek
4
2007
Local search in memetic algorithms
Dirk Sudholt
2006
Evolutionäre Algorithmen zwischen experimenteller und theoretischer Analyse
Patrick Briest , Dimo Brockhoff , Bastian Degener , Matthias Englert
Universität Dortmund, Fachbereich Informatik
2004
Memetic Evolutionary Algorithms.
Dirk Sudholt
Theory of Randomized Search Heuristics 141 -169
4
2011
Local Search in Evolutionary Algorithms : The Impact of the Local Search Frequency
Dirk Sudholt
Lecture Notes in Computer Science 359 -368
2006
A New Method for Lower Bounds on the Running Time of Evolutionary Algorithms
Dirk Sudholt
arXiv: Neural and Evolutionary Computing
145
2011
How Crossover Speeds Up Building-Block Assembly in Genetic Algorithms
Dirk Sudholt
arXiv: Neural and Evolutionary Computing
57
2014
Update Strength in EDAs and ACO: How to Avoid Genetic Drift
Dirk Sudholt , Carsten Witt
arXiv: Neural and Evolutionary Computing
8
2016
Analysis of Speedups in Parallel Evolutionary Algorithms for Combinatorial Optimization
Dirk Sudholt , Jörg Lässig
arXiv: Neural and Evolutionary Computing
3
2011
First Steps Towards a Runtime Comparison of Natural and Artificial Evolution
Barbora Trubenová , Dirk Sudholt , Tiago Paixão , Jorge Pérez Heredia
arXiv: Neural and Evolutionary Computing
2015
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter.
Dirk Sudholt , Mario Alejandro Hevia Fajardo
arXiv: Neural and Evolutionary Computing
2021
On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation
Dogan Corus , Jun He , Thomas Jansen , Pietro S. Oliveto
Algorithmica 78 ( 2) 714 -740
14
2017
Towards a Runtime Comparison of Natural and Artificial Evolution
Tiago Paixão , Jorge Pérez Heredia , Dirk Sudholt , Barbora Trubenová
Algorithmica 78 ( 2) 681 -713
19
2017
How to Escape Local Optima in Black Box Optimisation: When Non-elitism Outperforms Elitism.
Pietro S. Oliveto , Tiago Paixão , Jorge Pérez Heredia , Dirk Sudholt
Algorithmica 80 ( 5) 1604 -1633
30
2018
On the Analysis of Trajectory-Based Search Algorithms: When is it Beneficial to Reject Improvements?
Samadhi Nallaperuma , Pietro S. Oliveto , Jorge Pérez Heredia , Dirk Sudholt
Algorithmica 81 ( 2) 858 -885
1
2019
On the Choice of the Update Strength in Estimation-of-Distribution Algorithms and Ant Colony Optimization
Dirk Sudholt , Carsten Witt
Algorithmica 81 ( 4) 1450 -1489
17
2019
Analysing the Robustness of Evolutionary Algorithms to Noise: Refined Runtime Bounds and an Example Where Noise is Beneficial
Dirk Sudholt
Algorithmica 83 ( 4) 976 -1011
3
2021
The Complex Parameter Landscape of the Compact Genetic Algorithm
Johannes Lengler , Dirk Sudholt , Carsten Witt
Algorithmica 83 ( 4) 1096 -1137
2
2021