@ARTICLE{10.21494/ISTE.OP.2017.0127, 

TITLE={Electrical power transmission optimization based on a new version of PSO algorithm}, 
  
AUTHOR={Maria Zemzami, Norelislam Elhami, Abderahman Makhloufi, Mhamed Itmi, Nabil Hmina, }, 
	
JOURNAL={Uncertainties and Reliability of Multiphysical Systems}, 
	
VOLUME={1}, 

NUMBER={Optimization and Reliability}, 
	
YEAR={2017}, 

URL={https://openscience.fr/Electrical-power-transmission-optimization-based-on-a-new-version-of-PSO}, 
	
DOI={10.21494/ISTE.OP.2017.0127}, 
	
ISSN={2514-569X}, 
	
ABSTRACT={In this paper, we suggest a new version of PSO algorithm, that allows the amelioration of its performance by introducing its parallelization associated to the concept of evolutionary neighborhood. The main objective of our approach is to overcome to the two essential disadvantages of PSO: high running time and premature convergence. The proposed algorithm was tested in order to improve the performance and reliability of mechanical structures; more precisely on the electricity pylon example; the objective is to maximize resistance to load while reducing material usage and cost. Experimental results demonstrate that the proposed method is effective and outperforms basic PSO in terms of solution quality, accuracy, constraint handling, and time consuming.}}