The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Abstract We compare the performance of two database selection algorithms reported in the literature. Their performance is compared using a common testbed designed specifically for ...
James C. French, Allison L. Powell, James P. Calla...
Despite of the fact that large line segment datasets are appearing more and more frequently in numerous applications involving spatial data, such as GIS 8, 9] multimedia 6] and ev...
Query optimization is an integral part of relational database management systems. One important task in query optimization is selectivity estimation, that is, given a query P, we ...
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...