A new hybrid optimization method based on genetic algorithm(GA)and seeker optimization algorithm(SOA)is presented in this paper.The hybrid algorithm optimizes SOA by using crossover and mutation operations in GA in or...A new hybrid optimization method based on genetic algorithm(GA)and seeker optimization algorithm(SOA)is presented in this paper.The hybrid algorithm optimizes SOA by using crossover and mutation operations in GA in order to improve the global search ability of SOA.Four algorithms,i.e.particle swarm optimization(PSO),SOA,GA and quantum-behaved particle swarm optimization(GA-QPSO)and GA-SOA are used to process the simulation and experimental data of Brillouin scattering spectrum(BSS)at different temperatures.The results show that GA-SOA improves the accuracy of extracting the center frequency shift and the minimum center frequency of Brillouin scattering spectrum compared with other three algorithms.The shift error is 0.203 MHz.Therefore,GA-SOA can be applied to the accurate extraction of BSS characteristics.展开更多
As a “global” numerical optimization method, genetic algorithm is briefly introduced. It is applied to optimize the absorbing coating to reduce EM scattering, leading to satisfactory results.
随着强流脉冲功率装置的发展,强脉冲γ辐射的测量与诊断技术面临新的挑战。提出了一种散射编码成像系统,以精确测量强脉冲γ辐射剂量场的强度分布。引入薄散射靶以降低γ射线束强度,保护成像探测器免受剂量率损伤,同时避免对脉冲辐射场...随着强流脉冲功率装置的发展,强脉冲γ辐射的测量与诊断技术面临新的挑战。提出了一种散射编码成像系统,以精确测量强脉冲γ辐射剂量场的强度分布。引入薄散射靶以降低γ射线束强度,保护成像探测器免受剂量率损伤,同时避免对脉冲辐射场环境参数造成显著改变。采用环孔作为编码孔,并利用遗传算法结合MCNP(Monte Carlo N-Particle Transport Code)程序对环孔的内径、环宽和厚度进行优化。通过对比优化后的环孔、未采用最佳参数的环孔和针孔在多种源区结构下的重建图像,验证了优化后的环孔其空间分辨率优于未采用最佳参数的环孔和针孔,同时在系统未对准和源区强度不均的情况下仍能保持优异的成像质量。应用双边滤波技术进一步改善重建图像的对比度和均匀性。该系统为极端辐射环境下的辐射成像提供了一种新的实现途径。展开更多
基金Supported by the National Natural Science Foundation of China(No.11673040,61675176,51675461)‘Xinrui Gongcheng’ Talent Project of Yanshan University of Chinathe China Scholarship Council(No.201708130010)
文摘A new hybrid optimization method based on genetic algorithm(GA)and seeker optimization algorithm(SOA)is presented in this paper.The hybrid algorithm optimizes SOA by using crossover and mutation operations in GA in order to improve the global search ability of SOA.Four algorithms,i.e.particle swarm optimization(PSO),SOA,GA and quantum-behaved particle swarm optimization(GA-QPSO)and GA-SOA are used to process the simulation and experimental data of Brillouin scattering spectrum(BSS)at different temperatures.The results show that GA-SOA improves the accuracy of extracting the center frequency shift and the minimum center frequency of Brillouin scattering spectrum compared with other three algorithms.The shift error is 0.203 MHz.Therefore,GA-SOA can be applied to the accurate extraction of BSS characteristics.
文摘As a “global” numerical optimization method, genetic algorithm is briefly introduced. It is applied to optimize the absorbing coating to reduce EM scattering, leading to satisfactory results.
文摘随着强流脉冲功率装置的发展,强脉冲γ辐射的测量与诊断技术面临新的挑战。提出了一种散射编码成像系统,以精确测量强脉冲γ辐射剂量场的强度分布。引入薄散射靶以降低γ射线束强度,保护成像探测器免受剂量率损伤,同时避免对脉冲辐射场环境参数造成显著改变。采用环孔作为编码孔,并利用遗传算法结合MCNP(Monte Carlo N-Particle Transport Code)程序对环孔的内径、环宽和厚度进行优化。通过对比优化后的环孔、未采用最佳参数的环孔和针孔在多种源区结构下的重建图像,验证了优化后的环孔其空间分辨率优于未采用最佳参数的环孔和针孔,同时在系统未对准和源区强度不均的情况下仍能保持优异的成像质量。应用双边滤波技术进一步改善重建图像的对比度和均匀性。该系统为极端辐射环境下的辐射成像提供了一种新的实现途径。
