Considering the fitness of each individual, a hybrid intelligence algorithm is established, which combine the excellent probing ability of free search algorithm (FS) with exploiting ability of invasive weed optimization algorithm (IWO). The hybrid algorithm can overcome the disadvantage of lower optimization rate in late evolution for FS and taking advantage of powerful exploiting abilities for IWO. Identity between FS and IWO is analyzed and convergence of the two algorithms in solving continuous function optimization is provided. Simulations confirmed the analysis. Multi-model Shubert function is chosen to carry out the simulation. Compared with FS and IWO, the hybrid algorithm is superior in convergence speed and robustness.
Based on Green and Lindsay’s generalized thermoelasticity theory with two relaxation
times, a two-dimensional coupled problem in electromagneto-thermoelasticity for a rotating
half-space solid whose surface is subjected to a heat is studied in this paper. The normal mode
analysis is used to obtain the analytical expressions for the considered variables. It can be found
electromagneto-thermoelastic coupled effect in the medium, and it also can be found that rotation
acts to significantly decrease the magnitude of the real part of displacement and stress and
insignificantly affect the magnitude of temperature and induced magnetic field.
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