"4"^^ . . "26220" . . . . . . "[7DF7668B243C]" . "optimization procedure, multi objective, optimization, efficiency, SOMA, SMPM"@en . . . "\u0160lapanice" . "P(FR-TI1/082), P(GA102/09/1875)" . . "Multi Objective Optimization of the Surface Mounted Permanent Magnet Machine in Order to Achieve the Desired Output Parameters" . "Skalka, Miroslav" . "Duro\u0148, Ji\u0159\u00ED" . "Multi Objective Optimization of the Surface Mounted Permanent Magnet Machine in Order to Achieve the Desired Output Parameters"@en . "978-80-214-4362-4" . "RIV/00216305:26220/11:PU94773!RIV12-GA0-26220___" . "Multi Objective Optimization of the Surface Mounted Permanent Magnet Machine in Order to Achieve the Desired Output Parameters" . "Kurf\u00FCrst, Ji\u0159\u00ED" . "XI. International Conference Proceeding on Low Voltage Electrical Machines" . . "Brno" . "RIV/00216305:26220/11:PU94773" . . . "214172" . "3"^^ . "UVEE" . . . . . "4"^^ . "This paper deals with the results of the multiobjective optimization for the surface mounted permanent magnet machine. The main targets of the optimization are to propose the optimization procedure and to derive the fitness function relative to the output of the machine parameters. By using these optimization procedures, the efficiency maximum should be achieved in order to minimize losses and increase output power of the machine. The Self - Organizing Migrating Algorithm (SOMA) was used for the optimization. The optimization algorithm was created in MATLAB, the software SPEED laboratory was used as solver, the communication link was provided by the ActiveX direction."@en . . . "Ondr\u016F\u0161ek, \u010Cestm\u00EDr" . "2011-11-07+01:00"^^ . . "Multi Objective Optimization of the Surface Mounted Permanent Magnet Machine in Order to Achieve the Desired Output Parameters"@en . "This paper deals with the results of the multiobjective optimization for the surface mounted permanent magnet machine. The main targets of the optimization are to propose the optimization procedure and to derive the fitness function relative to the output of the machine parameters. By using these optimization procedures, the efficiency maximum should be achieved in order to minimize losses and increase output power of the machine. The Self - Organizing Migrating Algorithm (SOMA) was used for the optimization. The optimization algorithm was created in MATLAB, the software SPEED laboratory was used as solver, the communication link was provided by the ActiveX direction." . . . . .