Optimal Territorial Resources Placement for Multipurpose Wireless Services Using Genetic Algorithms | Zendy

Daniele Cacciani | Zendy; Fabio Garzia | Zendy; Alessandro Neri | Zendy; Roberto Cusani | Zendy

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Optimal Territorial Resources Placement for Multipurpose Wireless Services Using Genetic Algorithms

Author(s) -

Daniele Cacciani,

Fabio Garzia,

Alessandro Neri,

Roberto Cusani

Publication year - 2011

Publication title -

wireless engineering and technology

Language(s) - English

Resource type - Journals

eISSN - 2152-2308

pISSN - 2152-2294

DOI - 10.4236/wet.2011.23026

Subject(s) - variety (cybernetics) , genetic algorithm , wireless , computer science , algorithm , mathematical optimization , distributed computing , telecommunications , mathematics , artificial intelligence , machine learning

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

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