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  Journal Paper


Paper Title :
The Improved Particle Swarm Algorithm (PSO) Methods for Search And Rescue Teams

Author :Emine Ozcan, Saban Bas, Yasin Akman

Article Citation :Emine Ozcan ,Saban Bas ,Yasin Akman , (2016 ) " The Improved Particle Swarm Algorithm (PSO) Methods for Search And Rescue Teams " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 22-24, Volume-4,Issue-4

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

Type : Research paper

Published : Volume-4,Issue-4


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