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基于单纯形微粒群优化算法Jensen模型参数求解
引用本文:郑文超,董雯雯. 基于单纯形微粒群优化算法Jensen模型参数求解[J]. 水科学与工程技术, 2013, 0(5): 71-75
作者姓名:郑文超  董雯雯
作者单位:河北省水利水电勘测设计研究院,天津,300250
摘    要:提出了基于单纯形微粒群优化算法(SMPSO)直接求解作物水分生产函数Jensen模型参数的方法。通过计算分析,用传统方法计算而得Jensen模型的相对产量与实际相对产量的相关指数为0.825,而用SMPSO(PSO)计算而得的相关指数为0.932;SMPSO寻优仅需要0.3973s,而PSO需要1.0783s。

关 键 词:水分生产函数  Jensen模型  单纯形微粒群优化算法  模型参数

Jensen Model Calculate Parameters Base on Simplex Particle Swarm Optimization Algorithm
ZHENG Wen-chao , DONG Wen-wen. Jensen Model Calculate Parameters Base on Simplex Particle Swarm Optimization Algorithm[J]. Water Sciences and Engineering Technology, 2013, 0(5): 71-75
Authors:ZHENG Wen-chao    DONG Wen-wen
Affiliation:( Hebei Research Institute of Investigation & Design of Water Conservancy & Hydropower, Tianjin 300250,China)
Abstract:In this paper, Simplex Particle Swarm Optimization Algorithm (SMPSO) is introduced to calculate parameters for crop water production function. Through calculation and analysis, the related index is 0.825 between the Jensen model relative output and the actual relative production with the traditional method to calculate, and the related index was 0.932 with SMPSO (PSO); SMPSO optimization need only 0.3973 s, and PSO need 1.0783s.
Keywords:crop water production function  Jensen model  Simplex Particle Swarm Optimization Algorithm  model parameters
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