Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Electromagnetic optimization procedures require a large number of evaluations in numerical forward models. These computer models simulate complex problems through the use of numerical techniques, e.g. finite elements. Hence, the evaluations need a large computational time. Two-level methods such as space mapping have been developed that include a second model so as to accelerate the inverse procedures. Contrary to existing two-level methods,  propose a scheme that enables acceleration when the second model is based on the initial numerical model with coarse discretizations.  validates the proposed refined direct optimization method onto algebraic test functions. Moreover,  applied the methodology onto the geometrical optimization of the magnetic circuit of a switched reluctance motor. The obtained numerical results show the efficiency of the optimization algorithm with respect to the computational time and the accuracy.
['Guillaume Crevecoeur', 'Ahmed Mohamed Abouelyazied Abdallh', 'Ivo Couckuyt', 'Luc Dupré', 'Tom Dhaene']
I am writing a research paper on a idea Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor
[{"from": "human", "value": "I am writing a research paper on a idea Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Electromagnetic optimization procedures require a large number of evaluations in numerical forward models. These computer models simulate complex problems through the use of numerical techniques, e.g. finite elements. Hence, the evaluations need a large computational time. Two-level methods such as space mapping have been developed that include a second model so as to accelerate the inverse procedures. Contrary to existing two-level methods,  propose a scheme that enables acceleration when the second model is based on the initial numerical model with coarse discretizations.  validates the proposed refined direct optimization method onto algebraic test functions. Moreover,  applied the methodology onto the geometrical optimization of the magnetic circuit of a switched reluctance motor. The obtained numerical results show the efficiency of the optimization algorithm with respect to the computational time and the accuracy."}]