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B. Di Chiara, R. Sorrentino, M. Strappini and L. Tarricone, “Genetic optimization of radio base-station size and location using a GIS-based frame work: experimental validation”, IEEE International Symposium of Antennas and Propagation Society, Vol.2, pp. 863-866, 2003.

has been cited by the following article:

• TITLE: Optimal Territorial Resources Placement for Multipurpose Wireless Services Using Genetic Algorithms

  AUTHORS: Daniele Cacciani, Fabio Garzia, Alessandro Neri, Roberto Cusani

  KEYWORDS: Genetic Algorithm, Wireless Optimization, Digital Terrain Elevation Data (Dted), Wireless Resources Placement

  JOURNAL NAME: Wireless Engineering and Technology, Vol.2 No.3, July 11, 2011

  ABSTRACT: This paper presents a study for finding a solution to the placement of territorial resources for multipurpose wireless services considering also the restrictions imposed by the orography of the territory itself. To solve this problem genetic algorithms are used to identify sites where to place the resources for the optimal coverage of a given area. The used algorithm has demonstrated to be able to find optimal solutions in a variety of considered situations.