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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...
Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are well known optimization tools. PSO advantage is its capability for fast convergence to the promising solutions. On the other hand GAs are able to process schemata thanks to the use of crossover operator. However, both methods have also their drawbacks - PSO may fall into the trap of preconvergence, while GA capability of fast finding...
Optimal design of electric machine based on finite element analysis (FEA) is characterized with the nonlinear magnetic saturation, which causes the much longer computation time for maintaining the high accuracy. In order to compensate the excessive computation time due to FEA and guarantee the reliable convergence to global optimum, variable mesh adaptive direct search (VMADS) is newly implemented...
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...
Several works have shown that population size affects the performance and efficiency of evolutionary optimization algorithms. There are works in the literature proposing techniques for the determination of the best size of a population using complex equations or synthetic benchmarks. Nevertheless, higher population size usually lead to more function evaluations and higher running time. On the other...
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