DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-4 ( Apr, 2016 ) | |||||||||
Paper Title |
The Improved Particle Swarm Algorithm (PSO) Methods for Search And Rescue Teams | |||||||||
Author Name |
Emine Ozcan, Saban Bas, Yasin Akman | |||||||||
Affilition |
Selçuk University Kulu Vocational School,KULU/KONYA/TURKEY, Selçuk University Beyşehir Ali AkkanatVocational School,BEYŞEHİR/KONYA/ TURKEY | |||||||||
Pages |
22-24 | |||||||||
Abstract |
There are many nature-inspired algorithms. For example, particle swarm algorithm, ant colony algorithm eagle algorithm etc. In this study, particle swarm algorithm (PSO) has been developed. Inspired by birds in the nature of PSO was formed. Birds shall act collectively in nature and communicate with each other. So they get their food source. This work has brought a new approach in particle swarm algorithm.Genetic algorithm used in this approach developed. Developed PSO software was thought to be used by search and rescue teams. It is important to reach sufferer on time in a probabilistic the event of a loss. With the proposed PSO approach, the search and rescue teams will arrive quickly to the region. Keywords- Birds, Genetic Algorithm ,Optimizasyon, PSO | |||||||||
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