Abstract Population-based meta-heuristics are algorithms that can obtain very good results for complex continuous optimization problems in a reduced amount of time. These search al...
Amilkar Puris, Rafael Bello, Daniel Molina, Franci...
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Abstract--Finding regularities in large data sets requires implementations of systems that are efficient in both time and space requirements. Here, we describe a newly developed sy...
In this paper, we show that under the constant delay model the placement problem is equivalent to minimizing a weighted sum of wire lengths. The weights can be efficiently compute...
Kolja Sulimma, Wolfgang Kunz, Ingmar Neumann, Luka...
1 We address the problem of resource management for a large-scale cloud environment that hosts sites. Our contribution centers around outlining a distributed middleware architectur...