Selected article for: "particle swarm optimization and swarm optimization"
Author: Junyu He; Guangwei Chen; Yutong Jiang; Runjie Jin; Mingjun He; Ashton Shortridge; Jiaping Wu; George Christakos
Title: Comparative Analysis of COVID-19 Transmission Patterns in Three Chinese Regions vs. South Korea,Italy and Iran
  • Document date: 2020_4_14
    • ID: d9y31nlj_18
    Snippet: (iv) Transmission, cure, and mortality rates are unknown and dynamic. We estimate these 186 parameters for each region using particle swarm optimization (PSO), a nonlinear computational fitting 187 procedure [28, 29] . A 6-days long moving window was introduced for computational model parameter 188.....
    Document: (iv) Transmission, cure, and mortality rates are unknown and dynamic. We estimate these 186 parameters for each region using particle swarm optimization (PSO), a nonlinear computational fitting 187 procedure [28, 29] . A 6-days long moving window was introduced for computational model parameter 188

    Search related documents:
    Co phrase search for related documents
    • computational model and particle swarm optimization: 1
    • computational model and PSO particle swarm optimization: 1
    • computational model and swarm optimization: 1
    • mortality rate and particle swarm optimization: 1, 2
    • mortality rate and PSO particle swarm optimization: 1, 2
    • mortality rate and swarm optimization: 1, 2
    • particle swarm optimization and PSO particle swarm optimization: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • particle swarm optimization and swarm optimization: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25