A novel neutron energy spectrum unfolding code using particle swarm optimization

被引:17
|
作者
Shahabinejad, H. [1 ]
Sohrabpour, M. [1 ]
机构
[1] Sharif Univ Technol, Dept Energy Engn, Tehran, Iran
关键词
Neutron spectrum unfolding; Particle swarm optimization; TGASU; SDPSO; GENETIC ALGORITHM;
D O I
10.1016/j.radphyschem.2017.03.033
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A novel neutron Spectrum Deconvolution using Particle Swarm Optimization (SDPSO) code has been developed to unfold the neutron spectrum from a pulse height distribution and a response matrix. The Particle Swarm Optimization (PSO) imitates the bird flocks social behavior to solve complex optimization problems. The results of the SDPSO code have been compared with those of the standard spectra and recently published Two-steps Genetic Algorithm Spectrum Unfolding (TGASU) code. The TGASU code have been previously compared with the other codes such as MAXED, GRAVEL, FERDOR and GAMCD and shown to be more accurate than the previous codes. The results of the SDPSO code have been demonstrated to match well with those of the TGASU code for both under determined and over-determined problems. In addition the SDPSO has been shown to be nearly two times faster than the TGASU code.
引用
收藏
页码:9 / 16
页数:8
相关论文
共 50 条
  • [1] A new neutron energy spectrum unfolding code using a two steps genetic algorithm
    Shahabinejad, H.
    Hosseini, S. A.
    Sohrabpour, M.
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2016, 811 : 82 - 93
  • [2] The study of a neutron spectrum unfolding method based on particle swarm optimization combined with maximum likelihood expectation maximization
    Hong-Fei Xiao
    Qing-Xian Zhang
    He-Yi Tan
    Bin Shi
    Jun Chen
    Zhi-Qiang Cheng
    Jian Zhang
    Rui Yang
    [J]. Nuclear Science and Techniques, 2023, 34
  • [3] The study of a neutron spectrum unfolding method based on particle swarm optimization combined with maximum likelihood expectation maximization
    Xiao, Hong-Fei
    Zhang, Qing-Xian
    Tan, He-Yi
    Shi, Bin
    Chen, Jun
    Cheng, Zhi-Qiang
    Zhang, Jian
    Yang, Rui
    [J]. NUCLEAR SCIENCE AND TECHNIQUES, 2023, 34 (04)
  • [4] The study of a neutron spectrum unfolding method based on particle swarm optimization combined with maximum likelihood expectation maximization
    Hong-Fei Xiao
    Qing-Xian Zhang
    He-Yi Tan
    Bin Shi
    Jun Chen
    Zhi-Qiang Cheng
    Jian Zhang
    Rui Yang
    [J]. Nuclear Science and Techniques, 2023, 34 (04) : 151 - 162
  • [5] Neutron Energy Spectrum Unfolding using Stochastic Techniques
    Mohsin, Bukhtiar
    Ahmad, Siraj-ul-Islam
    Shaukat, Nadeem
    Shaheryar, Ahmad
    [J]. 2018 4TH INTERNATIONAL CONFERENCE ON POWER GENERATION SYSTEMS AND RENEWABLE ENERGY TECHNOLOGIES (PGSRET-2018), 2018, : 580 - 584
  • [6] STUNFO - STOCHASTIC NEUTRON-SPECTRUM UNFOLDING CODE
    MUTONE, GA
    MEYER, W
    [J]. TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY, 1972, 15 (02): : 982 - +
  • [7] BONDI-97: A novel neutron energy spectrum unfolding tool using a genetic algorithm
    Mukherjee, B
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1999, 432 (2-3): : 305 - 312
  • [8] Neutron spectrum unfolding using three artificial intelligence optimization methods
    Wang, Jie
    Zhou, Yulin
    Guo, Zhirong
    Liu, Haifeng
    [J]. APPLIED RADIATION AND ISOTOPES, 2019, 147 : 136 - 143
  • [9] Shuffled Particle Swarm Optimization for Energy Efficiency Using Novel Fitness Function in WSN
    Lipare, Amruta
    Edla, Damodar Reddy
    [J]. PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PREMI 2019, PT I, 2019, 11941 : 347 - 355
  • [10] Neutron spectrum unfolding for the development of a novel neutron detector for fusion
    Nobs, C. R.
    Packer, L. W.
    Batistoni, P.
    Colling, B.
    Ghani, Z.
    Gilbert, M. R.
    Loreti, S.
    Mergia, K.
    Messoloras, S.
    Michelakaki, I
    Pillon, M.
    Savva, M., I
    Stamatelatos, I. E.
    Triantou, K.
    Vasilopoulou, T.
    [J]. FUSION ENGINEERING AND DESIGN, 2019, 146 : 2658 - 2662