Finding the minimum of a function of many variables which are limited by physical constraints is a problem common to many fi.elds of research. In this paper we analyze the general characteristics of the methods currently available and describe one in particular, the Controlled Random Search technique of Price (1976), which, although very CPU consuming, allows a solution even when the shape of the function is not known.

Optimization of functions with Controlled Random Search techniques

L. Milano
Membro del Collaboration Group
;
Guido Russo
Membro del Collaboration Group
1988

Abstract

Finding the minimum of a function of many variables which are limited by physical constraints is a problem common to many fi.elds of research. In this paper we analyze the general characteristics of the methods currently available and describe one in particular, the Controlled Random Search technique of Price (1976), which, although very CPU consuming, allows a solution even when the shape of the function is not known.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/892683
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact