2008 |
13 | EE | Frank Neumann,
Dirk Sudholt,
Carsten Witt:
Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search.
ANTS Conference 2008: 132-143 |
12 | EE | Dirk Sudholt,
Carsten Witt:
Runtime analysis of binary PSO.
GECCO 2008: 135-142 |
11 | EE | Dirk Sudholt:
Memetic algorithms with variable-depth search to overcome local optima.
GECCO 2008: 787-794 |
10 | EE | Tobias Friedrich,
Pietro Simone Oliveto,
Dirk Sudholt,
Carsten Witt:
Theoretical analysis of diversity mechanisms for global exploration.
GECCO 2008: 945-952 |
9 | EE | Thomas Sauerwald,
Dirk Sudholt:
Self-stabilizing Cuts in Synchronous Networks.
SIROCCO 2008: 234-246 |
2007 |
8 | EE | Benjamin Doerr,
Frank Neumann,
Dirk Sudholt,
Carsten Witt:
On the runtime analysis of the 1-ANT ACO algorithm.
GECCO 2007: 33-40 |
7 | EE | Frank Neumann,
Dirk Sudholt,
Carsten Witt:
Comparing Variants of MMAS ACO Algorithms on Pseudo-Boolean Functions.
SLS 2007: 61-75 |
2006 |
6 | EE | Dirk Sudholt:
On the analysis of the (1+1) memetic algorithm.
GECCO 2006: 493-500 |
5 | EE | Dirk Sudholt:
Local Search in Evolutionary Algorithms: The Impact of the Local Search Frequency.
ISAAC 2006: 359-368 |
2005 |
4 | EE | Thomas Jansen,
Dirk Sudholt:
Design and analysis of an asymmetric mutation operator.
Congress on Evolutionary Computation 2005: 190-197 |
3 | EE | Dirk Sudholt:
Crossover is provably essential for the ising model on trees.
GECCO 2005: 1161-1167 |
2004 |
2 | EE | Patrick Briest,
Dimo Brockhoff,
Bastian Degener,
Matthias Englert,
Christian Gunia,
Oliver Heering,
Thomas Jansen,
Michael Leifhelm,
Kai Plociennik,
Heiko Röglin,
Andrea Schweer,
Dirk Sudholt,
Stefan Tannenbaum,
Ingo Wegener:
Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization.
PPSN 2004: 21-30 |
1 | EE | Patrick Briest,
Dimo Brockhoff,
Bastian Degener,
Matthias Englert,
Christian Gunia,
Oliver Heering,
Thomas Jansen,
Michael Leifhelm,
Kai Plociennik,
Heiko Röglin,
Andrea Schweer,
Dirk Sudholt,
Stefan Tannenbaum,
Ingo Wegener:
The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes.
PPSN 2004: 31-40 |