Coupled chaotic simulated annealing processes

J. A.K. Suykens*, M. E. Yalçin, J. Vandewalle

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

13 Citations (Scopus)


In this paper we formulate methods of chaotic simulated annealing within the context of coupled local minimizers. Interpreted within the cellular nonlinear networks context, coupled local minimizers consider local optimization algorithms as cells with local connections between the cells. As a result, information exchange is taking place between the minimizers. Instead of taking local optimization methods as individual cells we explore here the use of chaotic signals as additional driving force as in continuous simulated annealing where deterministic chaos now plays the role of noise. On a number of examples, improved results are obtained by coupled chaotic annealing. In general, the coupling of the minimizers also leads to a variance reduction on the optimal cost function values simulated for many different runs.

Original languageEnglish
Pages (from-to)III582-III585
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 2003
Externally publishedYes
EventProceedings of the 2003 IEEE International Symposium on Circuits and Systems - Bangkok, Thailand
Duration: 25 May 200328 May 2003


  • Cellular nonlinear networks
  • Chaotic annealing
  • Coupled local minimizers
  • Lagrange programming neural networks
  • Optimization


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