Dirk Sudholt
Title
Cited by
Cited by
Year
A new method for lower bounds on the running time of evolutionary algorithms
D Sudholt
IEEE Transactions on Evolutionary Computation 17 (3), 418-435, 2012
1202012
Analysis of diversity-preserving mechanisms for global exploration
T Friedrich, PS Oliveto, D Sudholt, C Witt
Evolutionary Computation 17 (4), 455-476, 2009
1002009
Crossover is provably essential for the Ising model on trees
D Sudholt
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
1002005
The impact of parametrization in memetic evolutionary algorithms
D Sudholt
Theoretical Computer Science 410 (26), 2511-2528, 2009
762009
The choice of the offspring population size in the (1, λ) evolutionary algorithm
JE Rowe, D Sudholt
Theoretical Computer Science 545, 20-38, 2014
752014
Analysis of different MMAS ACO algorithms on unimodal functions and plateaus
F Neumann, D Sudholt, C Witt
Swarm Intelligence 3 (1), 35-68, 2009
722009
How crossover helps in pseudo-Boolean optimization
T Kötzing, D Sudholt, M Theile
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
712011
Running time analysis of ant colony optimization for shortest path problems
D Sudholt, C Thyssen
Journal of Discrete Algorithms 10, 165-180, 2012
642012
Adaptive population models for offspring populations and parallel evolutionary algorithms
J Lässig, D Sudholt
Proceedings of the 11th workshop proceedings on Foundations of genetic …, 2011
642011
Escaping local optima using crossover with emergent diversity
DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ...
IEEE Transactions on Evolutionary Computation 22 (3), 484-497, 2017
602017
Mutation rate matters even when optimizing monotonic functions
B Doerr, T Jansen, D Sudholt, C Winzen, C Zarges
Evolutionary computation 21 (1), 1-27, 2013
582013
Unbiased black-box complexity of parallel search
G Badkobeh, PK Lehre, D Sudholt
International Conference on Parallel Problem Solving from Nature, 892-901, 2014
572014
On the runtime analysis of the 1-ANT ACO algorithm
B Doerr, F Neumann, D Sudholt, C Witt
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
562007
Parallel evolutionary algorithms
D Sudholt
Springer Handbook of Computational Intelligence, 929-959, 2015
542015
Crossover speeds up building-block assembly
D Sudholt
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
522012
A simple ant colony optimizer for stochastic shortest path problems
D Sudholt, C Thyssen
Algorithmica 64 (4), 643-672, 2012
472012
The choice of the offspring population size in the (1, λ) EA
JE Rowe, D Sudholt
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
472012
Rigorous analyses for the combination of ant colony optimization and local search
F Neumann, D Sudholt, C Witt
International Conference on Ant Colony Optimization and Swarm Intelligence …, 2008
442008
Improved evolutionary algorithm design for the project scheduling problem based on runtime analysis
LL Minku, D Sudholt, X Yao
IEEE Transactions on Software Engineering 40 (1), 83-102, 2013
432013
General lower bounds for the running time of evolutionary algorithms
D Sudholt
International Conference on Parallel Problem Solving from Nature, 124-133, 2010
432010
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Articles 1–20