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tutorials:multi_objective_optimization_on_an_electrical_motor
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Abstract
In this paper we study the thermal system of a DC motor, based on the generalized network proposed by [7]; To carry out the analysis of variables such as the heat in the motor core, the thermal resistance and the thermal capacitance of the motor. These variables are used in two objective functions to perform a multiobjective optimization of the system and find the respective Pareto Front and Pareto set with the optimum values reached by the optimization algorithms. The selected optimization algorithms are evMODAD, which is part of the Genetic Algorithm family and Normal Normalized Constraint (NNC).
tutorials/multi_objective_optimization_on_an_electrical_motor.1484306705.txt.gz · Last modified: 2022/09/20 00:08 (external edit)