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A methodology for robust optimization based on a new formulation and an improved wind drive optimization algorithm is proposed. Numerical results on a case study are reported in order to validate its feasibility and merit in solving engineering design problems.
A general method to model rotary machines using finite-element method (FEM) of transient magnetic field computation is presented. The merits of the proposed methods are that the nonlinear iteration on the rotor position is avoided; a curvilinear element is used in the two sides of the sliding surface; the methods being proposed to deal with matching boundaries and periodic boundaries are very general,...
A vector optimizer, based on population based incremental learning (PBIL) method, is proposed and used to study a hard engineering inverse problem with good results.
To minimize the sidelobe levels and place null at arbitrary angles for a nonlinear antenna array, an improved Particle Swarm Optimization (IPSO) algorithm is proposed and employed in a typical case study. Promising results are reported.
A modified tabu search method for global optimizations of inverse problems is presented. In the proposed algorithm, the whole search procedure is divided into three different phases. Two new point generating mechanisms as well as a dynamic parameters updating rule are proposed to improve the searching efficiency without compromising the solution's accuracy. Numerical results on TEAM Workshop Problem...
An efficient methodology based on Cross Entropy (CE) methods for finding both robust and global optimal solutions of an inverse problem under uncertain conditions is proposed and its merits are validated by numerical experiments.
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