Many-objective problems, characterized by a high-dimensional objective space, are a source of challenge for standard methods of multi-objective optimization. An evolutionary algorithm based on the concept of least-conflict solutions is here presented; the shape design of a IPM motor is considered as the case study. In particular, optimization problems dealing with 3 and 4 objective functions have been solved, respectively.
MohammadiM.H. and LowtherD.A., A computational study of efficiency map calculation for synchronous AC motor drives including cross-coupling and saturation effects, IEEE Trans. on Magnetics53(6) (2017).
2.
Pedrosa SilvaR.C.RamanT. and MohammadiM.H., Multiple operating points based optimization: Application to fractional slot concentrated winding electric motors, IEEE Trans. on Industrial Electronics65(2) (2018).
3.
DebK. and JainH., An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: Solving problems with box constraints, IEEE Transactions on Evolutionary Computation18(4) (2014), 577–601.
4.
Di BarbaP.LiuB.MognaschiM.E.VeniniP. and WiakS., Multiphysics field analysis and evolutionary optimization: Design of an electro-thermoelastic microactuator, International Journal of Applied Electromagnetics and Mechanics54(3) (2017), 433–448.
5.
Di BarbaP.MognaschiM.E.LowtherD.A.DughieroF.ForzanM.LupiS. and SieniE., A benchmark problem of induction heating analysis, International Journal of Applied Electromagnetics and Mechanics53(S1) (2017), S139–S149.
6.
CvetkovskiG. and PetkovskaL., Specific power optimal design of permanent magnet synchronous motor using GA, Journal Przeglad Elektrotechniczny86(12) (2010), 24–27.
7.
CvetkovskiG. and PetkovskaL., Cogging torque minimisation of PM synchronous motor using genetic algorithm, IJAEM-International Journal of Applied Electromagnetics and Mechanics46(2) (2014), 327–334.
8.
Di BarbaP.MognaschiM.E.BonislawskiM.PalkaR.PaplickiP.PiotuchR. and WardachM., Hybrid excited synchronous machine with flux control possibility, International Journal of Applied Electromagnetics and Mechanics52(3-4) (2016), 1615–1622.
9.
Di BarbaP.MognaschiM.E.RezaeiN.LowtherD.A. and RahmanT., Many-objective shape optimisation of IPM motors for electric vehicle traction, International Journal of Applied Electromagnetics and Mechanics60(S1) (2019), S149–S162.
10.
Di BarbaP.MognaschiM.E.PrzybylskiM.RezaeiN.SlusarekB. and WiakS., Geometry optimization for a class of switched-reluctance motors: A bi-objective approach, International Journal of Applied Electromagnetics and Mechanics56(S1) (2018), S107–S122.
