Abstract. We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss ...
Felix Streichert, Gunnar Stein, Holger Ulmer, Andr...
While executing a process, many decisions are taken at its various decision points for selecting paths. There is a need for understanding and analyzing on various paths that emana...
This paper examines how computation can be mapped across the nodes of a distributed search system to effectively utilize available resources. We specifically address computationa...
Larry Huston, Alex Nizhner, Padmanabhan Pillai, Ra...
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Empirical search is a strategy used during the installation of library generators such as ATLAS, FFTW, and SPIRAL to identify the algorithm or the version of an algorithm that del...