International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Jan. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 82
Paper Published : 1209
No. of Authors : 3038
  Journal Paper

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

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


Author - Emine Ozcan, Saban Bas, Yasin Akman

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| Published on 2016-05-04
   
   
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