An efficient annealing algorithm for global optimization in Boltzmann machines

Authors

Nirwan Ansari, Newark College of Engineering
Rajendra Sarasa, Newark College of Engineering
Gangsheng Wang, Newark College of Engineering

Document Type

Article

Publication Date

9-1-1993

Abstract

This article proposes a new annealing algorithm for Boltzmann machines. This algorithm uses an exponential formula for temperature scheduling that produces remarkably better solutions for global optimization. The superiority of the new algorithm is shown by computer simulations of several examples on the Boltzmann machine and its variants. The new algorithm is also shown to have better properties compared to the Generalized Simulated Annealing (GSA) and other similar algorithms. © 1993 Kluwer Academic Publishers.

Identifier

0344937563 (Scopus)

Publication Title

Applied Intelligence

External Full Text Location

https://doi.org/10.1007/BF00871936

e-ISSN

15737497

ISSN

0924669X

First Page

177

Last Page

192

Issue

3

Volume

3

Recommended Citation

Ansari, Nirwan; Sarasa, Rajendra; and Wang, Gangsheng, "An efficient annealing algorithm for global optimization in Boltzmann machines" (1993). Faculty Publications. 16993.
https://digitalcommons.njit.edu/fac_pubs/16993