Title :
Real Coded Genetic Algorithm for Permanent Magnet Motor Mass Minimization for Electric Vehicle Application
Author :
Hadj, N. Ben ; Tounsi, S. ; Neji, R. ; Sellami, F.
Author_Institution :
Ecole Nat. d´´Ing. de Sfax, Sfax
Abstract :
This paper presents the application of real coded genetic algorithms in the optimization of permanent magnet motor mass in order to reduce simultaneously the cost and the consumption of electric vehicles (EVs).
Keywords :
electric vehicles; genetic algorithms; permanent magnet motors; electric vehicle application; permanent magnet motor mass minimization; real coded genetic algorithm; Biological cells; Computational intelligence; Cost function; Electric vehicles; Genetic algorithms; Genetic mutations; Minimization methods; Optimization methods; Permanent magnet motors; Stochastic processes; Motor mass; Optimisation; Real coded genetic algorithm; electric vehicle;
Conference_Titel :
Computational Intelligence and Intelligent Informatics, 2007. ISCIII '07. International Symposium on
Conference_Location :
Agadir
Print_ISBN :
1-4244-1158-0
Electronic_ISBN :
1-4244-1158-0
DOI :
10.1109/ISCIII.2007.367380
