The Method for Magnetic Hyperthermia Based on Particle Swarm Optimization Algorithm with Levy Flight
作者： Ji-Ming Ma , Sheng-Nan Guo , Ri-Jian Su , Wei-Na Yue
DOI: 10.1142/S0218001416590254
关键词: Magnetic field 、 Particle swarm optimization 、 Electromagnetic coil 、 Magnetic nanoparticles 、 Local optimum 、 Computer science 、 Algorithm 、 Multi-swarm optimization 、 Magnetic hyperthermia 、 Magnetostatics
摘要: A new method to set up the static magnetic field of targeted fluid hyperthermia is presented, and a particle swarm optimization algorithm with Levy flight (LF-PSO) proposed. Magnetic generating system consists 18 coils, deployed in lesions peripheral symmetric space, main principle heat nanoparticles by high frequency alternating kill cancer cells, while building periphery tumor region protect healthy tissue from harm. Tumor location information may be shifted, so each treatment needs reconfigure field. The heating coil currently adopted this LF-PSO algorithm, reason mechanism characterized good robustness, precision optimal search it easy jump out local optimum. Experimental results show that objective function, comparing FEM has advantages fast solving speed accuracy.
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