Application of PSO and TLBO algorithms with neural network for optimal design of electrical machines
Bourahla Kheireddine, Belli Zoubida, Tarik Hacib, Achoui Imed · COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering · 2018
Purpose This study aims to focus on the application of the stochastic algorithms for optimal design of electrical machines. Among them, the authors are interested in particle swarm optimization and teaching–learning-based optimization. Design/methodology/approach The optimization process is realized by the coupling of the above methods to finite element analysis of the electromagnetic field. Findings To improve the performance of these algorithms and reduce their computation time, a coupling with the artificial neuron network has been realized. Originality/value The proposed strategy is applied to solve two optimization problems: Team workshop problem 25 and switched reluctance motor with flux barriers.