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In this paper, Genetic Algorithm (GA) based on Building Block (BB) identification is applied to optimal design of Interior Permanent Magnet Synchronous Motor (IPMSM). BBs on IPMSM design variables are identified using the proposed algorithm based on nonlinearity check by perturbation. Consequently, BB information regarding the design of IPMSM is proposed and the performance of the proposed algorithm...
An improved genetic algorithm on the basis of Gray encoding is presented, which is improved based on optimum maintenance of simple genetic algorithm and performs selected operator combination with fitness proportional model. The algorithm ensures the convergence property of genetic algorithm, and prevents premature phenomenon in some extent. In this paper, it is an example of the rolling shear mechanism...
The design of photonic devices in computer simulators is a complex task and, in some cases, there are not analytical solutions to support. An alternative is the application of some optimizations techniques. For this reason, this work presents three different bio-inspired algorithms (GA, ES and AIS) to optimize three different photonic devices. The main objectives are providing a flexible and efficient...
This work presents the application of three different bio-inspired algorithms (genetic algorithm, evolution strategies and artificial immune systems) to design a filter and an air-waveguide coupling based on electromagnetic band gap (EBG) structures. The EBG modeling is accomplished by using a 2D numerical algorithm based on the finite element method (FEM). Another contribution of this work is a benchmark...
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