A benchmark for inverse problems in magnetostatics, characterized by four geometrical design variables, is revisited; its solution is tackled by means of a quasi-analytical optimization methodology. A set of initial designs, generated in a random way, is considered; the study of the functional dependence of the optimization results on the starting configurations is investigated.
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