A novel adaptive genetic algorithm applied to optimizing linear induction machines

A novel adaptive genetic algorithm (NAGA), which improves the global search ability and convergence of solutions by adjusting the crossover and mutation probability automatically, is presented for the design optimization of linear induction motors (LIM). Results by the proposed algorithm are compared with another algorithm to demonstrate the superiority and feasibility of the proposed NAGA.