Drift analysis (Preprint)
J. Lengler
In: Theory of Evolutionary Computation, 89-131, Springer, 2020
Random Sampling with Removal
K. Clarkson, B. Gärtner, J. Lengler, M. Szedlák:
Discrete & Computational Geometry 1432-0444, 2020
The impact of lexicographic parsimony pressure for ORDER/MAJORITY on the run time
B. Doerr, T. Kötzing, G. Lagodzinski, J. Lengler
Theoretical Computer Science 816, 144-168, 2020
Destructiveness of lexicographic parsimony pressure and alleviation by a concatenation crossover in genetic programming
T. Kötzing, G. Lagodzinski, J. Lengler, A. Melnichenko
Theoretical Computer Science, 816, 96-113, 2020
Adaptive Tuning Curve Widths Improve Sample Efficient Learning
F. Meier, R. Dang-Nhu, and A. Steger
Frontiers in Computational Neuroscience, 2020
An optimal
decentralized (Δ+1)-coloring algorithm
D. Bertschinger, J. Lengler, A. Martinsson, R. Meier A. Steger, M. Trujić, E. Welzl:
28th Annual European Symposium on Algorithms (ESA 2020)
Large population sizes and crossover help in dynamic environments
J. Lengler, J. Meier
16th International Conference on Parallel Problem Solving from Nature (PPSN 2020)
