List of Accepted Papers:

G. Anil and R.P. Wiegand, Black-box Search by Elimination of Fitness Functions.
A. Auger, J. Bader, D. Brockhoff and E. Zitzler, Theory of the Hypervolume Indicator: Optimal µ-Distributions and the Choice of the Reference Point.
S. Baswana, S. Biswas, B. Doerr, T. Friedrich, P.P. Kurur and F. Neumann, Computing Single Source Shortest Paths using Single-Objective Fitness Functions.
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- and Multi-Objective Evolutionary Algorithms for Graph 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 and S. Luke, Cooperative Coevolution and Univariate Estimation 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.


Call for Papers:

PDF
PS


 

 

This workshop is sponsored by SIGEVO, the ACM Special Interest Group on Genetic and Evolutionary Computation.
You can join SIGEVO here.