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Position: Home > Articles > Simulated formula between water level and water flux based on a simplified artificial fish swarm algorithm Journal of Gansu Agricultural University 2010,45 (2) 147-151

基于简化的人工鱼群算法的水位流量关系拟合

作  者：
施秋红;王联国
单  位：
甘肃农业大学信息科学技术学院;甘肃农业大学工学院
关键词：
人工鱼群算法;水位流量关系;参数优化;目标函数准则
摘  要：
针对传统水位流量关系曲线拟合过程中精度低的问题,采用简化的人工鱼群算法,以水位流量关系曲线拟合的3种准则作为目标函数,优化水位流量关系模型的相关参数a和b,拟合水位流量关系曲线,研究水位流量关系回归问题;通过应用实例将该方法与其它算法进行比较,并比较3种准则下该方法得到的拟合结果的差异.结果表明:简化的人工鱼群算法不仅参数设置简单,而且拟合结果均优于其它方法,是一种较为优秀的全局优化方法,适用于解决非线性优化问题.
译  名：
Simulated formula between water level and water flux based on a simplified artificial fish swarm algorithm
作  者：
SHI Qiu-hong1,WANG Lian-guo2(1.College of Engineering,Gansu Agricultural University,Lanzhou 730070,China;2.College of Information Science Technology,Gansu Agricultural University,Lanzhou 730070,China)
关键词：
artificial fish swarm algorithm;water flux formula;parameters optimization;objective function criterion
摘  要：
Aiming at the disadvantages for low precision of traditional curvilinear regression methods,using three criterias as target functions, the simplified artificial fish swarm algorithm was applied to optimize the parameters,such as a and b,of the model of water level and water flux,the formula curve between water level and water flux was simulated,and the regression problem between water level and water flux was studied.Through an example,the simplified artificial fish swarm algorithm was compared with other algorithms,and the differences between the simulated outcomes on three criterisa were compared.The results indicated that the simplified artificial fish swarm algorithm not only has the simple parameters but also has excellent performance which was better than other methods.Therefore,it was found to be a superior global optimal method for solving the non linear continuous space optimization problems.

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