An efficient annealing algorithm for global optimization in Boltzmann machines

Nirwan Ansari, Rajendra Sarasa, Gangsheng Wang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)177-192
Number of pages16
JournalApplied Intelligence
Issue number3
StatePublished - Sep 1993

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence


  • Boltzmann machine
  • exponential schedule
  • generalized simulated annealing
  • harmony machine
  • simulated annealing


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