Evaluating hybrid optimization algorithms for design of a permanent magnet generator

Effects of lifting reactance requirements on the optimal design of converter-fed synchronous hydrogenerators

“…Using the GA, one is never assured to find the exact global optimum but one can get really close. More details on the implementation of GA as it is used in this paper are given in [8] where a hybrid version of the GA was used. In the hybrid version, a gradient optimization method was used as a final stage after the GA had found the optimal area of the solution space.…”

Design of a Permanent Magnet Synchronous Generator Using Interactive Multiobjective Optimization

“…In PMSGs, the most typical optimization objectives are to minimize the cost [DJT16,VSD10,BCW15,ERN15], to maximize energy yield [DJT16,BCW15], to maximize the efficiency [TA14,VSD10], to minimize the mass [PK15,BVB08], to maximize the power density [TA14], or to maximize the power factor of the generator [BVB08]. However, in the literature, typically only one [PK15,ERN15,VSD10] or two objectives [TA14,BVB08,DJT16] are optimized at the same time. Often, when there are multiple objectives, a weighted sum of the objective functions is applied, thus, forming a single objective optimization problem [BCW15,VZI06].…”

“…During the past years, genetic algorithms (GA) have been used e.g. in [TA14,ERN15,VSD10], sequential quadratic programming algorithms in [BVB08,BCW15], and particle swarm optimization (PSO) in [DJT16,ERN15]. In [ERN15] both GA and PSO were combined with a gradient based solver to produce two hybrid solvers.…”

“…in [TA14,ERN15,VSD10], sequential quadratic programming algorithms in [BVB08,BCW15], and particle swarm optimization (PSO) in [DJT16,ERN15]. In [ERN15] both GA and PSO were combined with a gradient based solver to produce two hybrid solvers. In [VSD10], GA was used with an analytical model to find the global optimum, and after that, a constrained nonlinear optimization algorithm was used with a finite element model to improve the obtained solution even further.…”