The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
We examine the problem of finding a single meeting location for a group of heterogeneous autonomous mobile robots, such that the total system cost of traveling to the rendezvous i...
Pawel Zebrowski, Yaroslav Litus, Richard T. Vaugha...
Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike...
— In this paper, we evaluate the performance of adaptive algorithms for selecting the number of redundant packets by jointly considering the forward error correction (FEC) and au...
The popularity of collaborative tagging sites presents a unique opportunity to explore keyword search in a context where query results are determined by the opinion of a network o...
Sihem Amer-Yahia, Michael Benedikt, Laks V. S. Lak...