基于单纯形微粒群优化算法Jensen模型参数求解

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。%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.