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Full-Text Articles in Computer Engineering

Establishing The Relative Merits Of Interior And Spoke-Type Permanent-Magnet Machines With Ferrite Or Ndfeb Through Systematic Design Optimization, Peng Zhang, Gennadi Y. Sizov, Dan M. Ionel, Nabeel Demerdash Jul 2015

Establishing The Relative Merits Of Interior And Spoke-Type Permanent-Magnet Machines With Ferrite Or Ndfeb Through Systematic Design Optimization, Peng Zhang, Gennadi Y. Sizov, Dan M. Ionel, Nabeel Demerdash

Electrical and Computer Engineering Faculty Research and Publications

In this paper, a multiobjective design optimization method combining design-of-experiments techniques and differential-evolution algorithms is presented. The method was implemented and utilized in order to provide practical engineering insights for the optimal design of interior and spoke-type permanent-magnet machines. Two combinations with 12 slots and 8 poles and 12 slots and 10 poles, respectively, have been studied in conjunction with rare-earth neodymium-iron-boron (NdFeB) and ferrites. As part of the optimization process, a computationally efficient finite-element electromagnetic analysis was employed for estimating the performance of thousands of candidate designs. Three optimization objectives were concurrently considered for minimum total material cost, power …


Bull Optimization Algorithm Based On Genetic Operators For Continuous Optimization Problems, Oğuz Findik Jan 2015

Bull Optimization Algorithm Based On Genetic Operators For Continuous Optimization Problems, Oğuz Findik

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, the researcher proposes a new evolutionary optimization algorithm that depends on genetic operators such as crossover and mutation, referred to as the bull optimization algorithm (BOA). This new optimization algorithm is called the BOA because the best individual is used to produce offspring individuals. The selection algorithm used in the genetic algorithm (GA) is removed from the proposed algorithm. Instead of the selection algorithm, individuals initially produced attempt to achieve better individuals. In the proposed method, crossover operation is always performed by using the best individual. The mutation process is carried out by using individual positions. In …