A comparative study of permanent magnet motor cost minimization dedicated to electric traction

الملخص EN

In this paper, we present a permanent magnet motor cost minimization dedicated to the electric traction based on a genetic algorithms (GAs) method.

Our objective is to minimize this cost by taking account of certain constraints.

The choice of a suitable coding is a critical element which depends largely on the genetic algorithm effectiveness.

That is why we present a comparative study between two types of genetic algorithms i.e.

a binary coded genetic algorithm (BCGA) and a real coded genetic algorithm (RCGA).