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of Fitness Functions. |
A. Auger, J. Bader,
D. Brockhoff and E. Zitzler, Theory of the Hypervolume
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of the Reference Point. |
S. Baswana, S. Biswas,
B. Doerr, T. Friedrich, P.P. Kurur and F. Neumann, Computing
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K. Bringmann and
T. Friedrich, Don't be greedy when calculating hypervolume
contributions. |
J. Butterworth and
J. Shapiro, Stability of Learning Dynamics in Two-Agent,
Imperfect Information Games. |
S. Finck and H.-G.
Beyer, Weighted Recombination Evolution Strategy on PDQF's. |
G. Greiner, Single-
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Bisectioning. |
C. Horoba, Analysis
of a Simple Evolutionary Algorithm for the Multiobjective
ShortestPath Problem. |
C. Horoba and F.
Neumann, Impact of the Density Estimator on the Runtime
of Evolutionary Multi-Objective Algorithms. |
P. Lehre and X.
Yao, On the impact of the Mutation-Selection Balance
on the Runtime of Evolutionary Algorithms. |
A. Moraglio and
Y. Borenstein, A Gaussian Random Field Model of Smooth
Fitness Landscapes. |
R. Poli, N.F. McPhee
and M. Graff, Free Lunches for Symbolic Regression. |
E. Popovici and
K. De Jong, Monotonicity versus Performance in Co-optimization. |
J. Reichel and M. Skutella, On the Size of Weights in Randomized Search Heuristics. |
T. Service, Unbiased
Coevolutionary Solution Concepts. |
C. Vo, L. Panait
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of Distribution Algorithms. |
C. Witt, Why Standard
Particle Swarm Optimisers Elude a Theoretical Runtime
Analysis. |
C. Zarges, On the
Utility of the Population Size for Inversely Fitness
Proportional Mutation Rate. |