Wind driven optimization is a new entrant to evolutionary algorithms, and has been applied successfully to solve different engineering single objective (scalar) design problems. However, lukewarm efforts have been devoted to develop a vector optimizer using a wind driven optimization algorithm. This paper explores the potential of this new optimal method in solving multi-objective design problems in electromagnetics. In this regard, a vector wind driven optimization algorithm is proposed and validated using two inverse problems with promising numerical results.
Dos Santos CoelhoL.BoraT.C.SchauenburgF. and AlottoP., A multiobjective firefly approach using Beta probability distribution for electromagnetic optimization problems, IEEE Trans. Magn.49 (2013), 2085–2088.
2.
Di BarbaP., Multiobjective shape design in electricity and magnetism, Lecture Notes in Electrical Engineering47 (2010).
3.
WolpertD.H. and MacreadyW.G., No free lunch theorems for optimization, IEEE Trans. Evolutionary Computation1 (1997), 67–82.
4.
BayraktarZ.KomurcuM. and WernerD.H., Wind Driven Optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics, in: Proceedings of the 2010 IEEE Antennas and Propagation Society International Symposium (APSURSI), Toronto, Canada, 2010, pp. 1–4.
5.
BaoZ.ZhouY.LiL. and MaM., A hybrid global optimization algorithm based on wind driven optimization and differential evolution, Mathematical Problems in Engineering2015 (2015), Article ID 389630.
6.
AyalaH.V.H. and SegundoE.H.V., Multiobjective wind driven optimization approach applied to transformer design, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC) (2016), 4642–4647.
7.
BandyopadhyayS.SahaS.MaulikU. and DebK., A simulated annealing-based multiobjective optimization algorithm: AMOSA, IEEE Trans. Evol. Comput.12 (2008), 269–283.
8.
HoS.L. and YangS., Multiobjective synthesis of antenna arrays using a vector tabu search algorithm, IEEE Antennas and Wireless Propagation Letters8 (2009), 947–950.
9.
YangJ.YangS. and NiP., A vector Tabu search algorithm with enhanced searching ability for Pareto solutions and its application to multiobjective optimizations, IEEE Trans. Magn.52 (2016), article id: 7001204.
10.
YangS.Y.CardosoJ.R.HoS.L.NiP.H.MachadoJ.M. and LoE.W.C., An improved tabu based vector optimal algorithm for design optimizations of electromagnetic devices, IEEE Trans. Magn.40 (2004), 1140–1143.
