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- W1992640918 abstract "Purpose The aim of the paper is to compare two different approaches to multi‐objective optimisation in magnetostatics; in this way, the case study is investigated as a possible benchmark. Design/methodology/approach A Tabu search method modified with ε ‐constraint algorithm is compared with a multi‐objective multi‐individual evolution strategy. The case study is the automated shape design of a magnetic pole. In order to reduce the computational cost of solving the direct problem, which requires repeated analyses of the magnetic field, a neural network has been used to approximate the objective functions that depend on the design variables. Findings An approximation of the Pareto front for each method is obtained. A twofold comparison between the two methods is made, based on both the result accuracy and the computational cost. Originality/value Two different methods were already tested on a case study proposed as a benchmark for multi‐objective optimization in magnetostatics. The paper represents a contribution to bridge the gap between analytical and numerical benchmarks in electromagnetism." @default.
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- W1992640918 date "2007-04-10" @default.
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- W1992640918 title "Comparison of multi‐objective optimisation approaches for inverse magnetostatic problems" @default.
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- W1992640918 doi "https://doi.org/10.1108/03321640710727656" @default.
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