Logo des Repositoriums
 
Zeitschriftenartikel

Self-organized Invasive Parallel Optimization with Self-repairing Mechanism

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Journal Article

Zusatzinformation

Datum

2011

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

The parallelization of optimization algorithms is very beneficial when the function evaluations of optimization problems are time consuming. However, parallelization gets very complicated when we deal with a large number of parallel resources. In this paper, we present a framework called Self-organized Invasive Parallel Optimization (SIPO) in which the resources are self-organized. The optimization starts with a small number of resources which decide the number of further required resources on-demand. This means that more resources are stepwise added or eventually released from the platform. In this paper, we study an undesired effect in such a self-organized system and propose a self-repairing mechanism called Recovering-SIPO. These frameworks are tested on a series of multi-objective optimization problems.

Beschreibung

Mostaghim, Sanaz; Pfeiffer, Friederike; Schmeck, Hartmut (2011): Self-organized Invasive Parallel Optimization with Self-repairing Mechanism. PARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware: Vol. 28, No. 1. DOI: 10.1007/BF03341988. Gesellschaft für Informatik e.V.. PISSN: 0177-0454. pp. 90-99

Zitierform

Tags