期刊
ARCHIVES OF ELECTRICAL ENGINEERING
卷 61, 期 1, 页码 57-67出版社
DE GRUYTER OPEN LTD
DOI: 10.2478/v10171-012-0005-3
关键词
evolutionary algorithms; finite element analysis; magnetic fluid hyperthermia; optimal synthesis; coupled fields
An automated procedure based on evolutionary computation and Finite Element Analysis (FEA) is proposed to synthesize the optimal distribution of nanoparticles (NPs) in multi-site injection for a Magnetic Fluid Hyperthermia (MFH) therapy. Evolution Strategy and Non dominated Sorting Genetic Algorithm (NSGA) are used as optimization procedures coupled with a Finite Element computation tool.
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