International Journal of Applied Electromagnetics and Mechanics · 2007 · 26 citations · 0 references
Natural SciencesMechanical EngineeringDesign OptimizationMachine DesignOptimizationBrushless Dc MachinesCombinatorial OptimizationEvolutionary ComputationEvolutionary OptimizationGenetic AlgorithmsMultiobjective OptimizationBrushed Dc MotorsBrushless Direct Current MotorsGenetic Algorithm Based DesignGenetic Algorithms For DesignHybrid Genetic AlgorithmsMultiobjective Genetic AlgorithmsOptimal DesignSequential Quadratic Programming
The sequential quadratic programming and genetic algorithms are finely tuned on the optimal design of a brushless DC wheel motor. Combining both methods, a hybrid approach is tested. Multiobjective optimizations are performed using Nondominated Sorting Genetic Algorithm, Strength Pareto Evolutionary Algorithm, and a variable weighted sum of objectives with the sequential quadratic programming. The Pareto fronts are compared in term of accuracy, uniformity, and coverage criteria using some quality indicators.