TY  - Type of reference 
TI  - Electrical power transmission optimization based on a new version of PSO algorithm 
AU  - Maria Zemzami 
AU  - Norelislam Elhami 
AU  - Abderahman Makhloufi 
AU  - Mhamed Itmi 
AU  - Nabil Hmina 
AB  - 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. 
DO  - 10.21494/ISTE.OP.2017.0127 
JF  - Uncertainties and Reliability of Multiphysical Systems 
KW  - Optimization,  PSO,  Parallelization,  Evolutionary neighborhood,  Electrical transmission,  Electricity pylon, Optimisation,  PSO,  Parallélisation,  Voisinage évolutif,  Transport d’électricité,  Pylône électrique,  
L1  - https://www.openscience.fr/IMG/pdf/01_zamzami-nor.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2017/02/22 
SN  - 2514-569X 
TT  - Application d’un modèle parallèle de la méthode PSO au problème de transport d’électricité 
UR  - https://www.openscience.fr/Electrical-power-transmission-optimization-based-on-a-new-version-of-PSO 
IS  - Optimization and Reliability 
VL  - 1 
ER  -