Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor

In this paper, internal division point genetic algorithm (IDP-GA) was proposed to lessen the computational burden of multi-variable multi-objective optimization problem using finite element analysis such as optimal design electric bicycles. The IDP-GA could consider various objectives with normalized weighted sum method and reduce number function calls novel crossover strategy vector-based pattern search method. superiority verified by comparing performances conventional at two mathematical test functions. Finally, applicability in practical machine successfully deriving an improved bicycle propulsion motor.