DocumentCode :
2462058
Title :
An Algorithm for Site Selection in GIS based on Swarm Intelligence
Author :
Sharma, Ajay ; Vyas, Vishnu ; Deodhare, Dipti
Author_Institution :
Center for Artificial Intelligence & Robotics, Bangalore
fYear :
0
fDate :
0-0 0
Firstpage :
1020
Lastpage :
1027
Abstract :
Swarm intelligence is about design of distributed algorithms which use simple rules and indirect communication, but result in intelligent emergent behaviour. Geographical Information Systems are systems which are able to analyse, manipulate and store vast amounts of spatial data. In this paper we study the use of swarm intelligence based algorithms for use in GIS and this is demonstrated with an example of the problem of site selection, also called as location allocation. An agent algorithm inspired from the nest building behaviour of natural termites is discussed and some simulation results are also provided.
Keywords :
distributed algorithms; geographic information systems; software agents; GIS; agent algorithm; distributed algorithms; geographical information systems; location allocation; natural termites; nest building behaviour; site selection; swarm intelligence; Algorithm design and analysis; Artificial intelligence; Distributed algorithms; Geographic Information Systems; Information analysis; Information systems; Insects; Intelligent robots; Particle swarm optimization; Research and development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
Type :
conf
DOI :
10.1109/CEC.2006.1688421
Filename :
1688421
Link To Document :
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