Skip to main content
Conference Proceedings

Universal global optimization algorithm on shared memory multiprocessors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5518 LNCS(PART 2) 219-222
DOI: 10.1007/978-3-642-02481-8_30
4Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this work, a parallel version of the evolutionary algorithm called UEGO (Universal Evolutionary Global Optimizer) has been implemented and evaluated on shared memory architectures. It is based on a threaded programming model, which is suitable to be run on current personal computers with multicore processors. © 2009 Springer Berlin Heidelberg.

Author supplied keywords

Cite

CITATION STYLE

APA

Redondo, J. L., García, I., & Martínez Ortigosa, P. (2009). Universal global optimization algorithm on shared memory multiprocessors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 219–222). https://doi.org/10.1007/978-3-642-02481-8_30

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free