Title
High-performance processing for E&P
Date Issued
11 February 2009
Access level
metadata only access
Resource Type
journal article
Author(s)
Pontifical Catholic University of Rio de Janeiro
Pontifical Catholic University of Rio de Janeiro
Abstract
This chapter addresses the modeling and development of the modules that use distributed processing systems so as to achieve a high performance in processes for the optimization of alternatives [1] [2] [3] (GA, CA, Cooperative Coevolution Algorithm, Schedule Optimization), for distributed simulations of "random" alternatives, for case simulations and for distributed Monte Carlo simulations. © 2009 Springer-Verlag Berlin Heidelberg.
Start page
227
End page
239
Volume
183
Language
English
OCDE Knowledge area
Ciencias de la computación
Scopus EID
2-s2.0-59549102470
Source
Studies in Computational Intelligence
ISSN of the container
1860949X
Sources of information:
Directorio de Producción Científica
Scopus