Solving maximum clique problem by cellular neural network

Sengor N. S., Yalcin M. E., CAKIR Y., UCER M., GUZELIS C., PEKERGIN F., ...More

ELECTRONICS LETTERS, vol.34, no.15, pp.1504-1506, 1998 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 34 Issue: 15
  • Publication Date: 1998
  • Doi Number: 10.1049/el:19981026
  • Journal Name: ELECTRONICS LETTERS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1504-1506
  • Istanbul Technical University Affiliated: Yes

Abstract

An approximate solution of an NP-hard graph theoretical problem, namely finding maximum clique, is presented using cellular neural networks. Like the existing energy descent optimising dynamics, the maximal cliques will be the stable states of cellular neural networks. To illustrate the performance of the method the results will be compared with those of continuous Hopfield dynamics.