Di Barba, Paolo, Mognaschi, Maria Evelina, Lowther, David A. and Sykulski, Jan K. (2020) Improved solutions to a TEAM problem for multi-objective optimisation in magnetics. IET Science, Measurement & Technology, 14 (8), 964-968. (doi:10.1049/iet-smt.2019.0488).
Abstract
New solutions to a recently proposed benchmark TEAM problem for Pareto optimisation are presented. In the benchmark, an air-cored solenoid of small size, which can be used, for example, for magnetic fluid hyperthermia, is considered. Two shape optimisations of the solenoid are proposed in the benchmark: synthesising a uniform magnetic field in a control region, considering also a sensitivity function (Problem 1) or synthesising a uniform magnetic field, simultaneously minimising the power losses (Problem 2). The benchmark is solved by means of three different nature-inspired algorithms and a genetic one, namely micro biogeography-inspired algorithm, wind-driven optimisation, and the cuckoo search, taking the genetic algorithm NSGA-II as a reference, because all these methods have proven to be effective in solving multi-objective optimisation problems.
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