Acceleration of evolution-based algorithms by relation preconditioning of optimization parameters
نویسنده
چکیده
A modified genetic algorithm is proposed for optimization of low-dimensional systems of mathematical models described by partial differential equations. The paper explains its principle, benefits and illustrates its utilization for the simple size optimization of the plunger of a bearingless electromagnetic actuator, whose goal is to maximize the force acting on the plunger during its operation. The algorithm is implemented in the framework OptiLab that represents a part of application Agros2D developed by the authors.
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تاریخ انتشار 2015