Accession Number:

ADA153526

Title:

A Global Optimization Algorithm Using Stochastic Differential Equations.

Descriptive Note:

Technical summary rept.,

Corporate Author:

WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER

Personal Author(s):

Report Date:

1985-02-01

Pagination or Media Count:

46.0

Abstract:

SIGMA is a set of FORTRAN subprograms for solving the global optimization problem, which implement a method founded on the numerical solution of a Cauchy problem for stochastic differential equations inspired by quantum physics. This paper gives a detailed description of the method as implemented in SIGMA, and reports on the numerical tests which have been performed while the SIGMA package is described in the accompanying Algorithm. The main conclusions are that SIGMA performs very well on several hard test problems unfortunately given the state of the mathematical software for global optimization it has not been possible to make conclusive comparisons with other packages. Keywords Algorithms, Theory, Verification, Global Optimization, Stochastic Differential Equations.

Subject Categories:

  • Numerical Mathematics
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE