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M. Saniee, J. Habibi and C. Lucas, “Intrusion Detection Using a Fuzzy Genetics-Based Learning Algorithm,” Journal of Network and Computer Applications, Vol. 30, No. 1, 2007, pp. 414-428. doi:10.1016/j.jnca.2005.05.002

has been cited by the following article:

• TITLE: Optimization of Security Communication Wired Network by Means of Genetic Algorithms

  AUTHORS: Fabio Garzia, Natale Tirocchi, Michele Scarpiniti, Roberto Cusani

  KEYWORDS: Security System; Genetic Installation Design Optimisation; Communication Network

  JOURNAL NAME: Communications and Network, Vol.4 No.3, August 31, 2012

  ABSTRACT: The realization of security wired network is very critical when the network itself must be installed in an environment full of restrictions and constrains such as historical palaces, characterized by unique architectural features. The purpose of this paper is to illustrate an advanced installation design technique of security wired network based on genetic algorithm optimisation that is capable of ensuring high performances of the network itself and significant reduction of the costs. The same technique can be extended to safety system such as fire signalling.