CAJ | 학술논문

针对混沌优化算法收敛速度较慢的缺点，将单纯形算法和混沌优化算法结合，构造单纯形混沌优化算法，并将该方法应用于分析一维河流水团示踪试验数据，求解河流水质模型参数的函数优化问题。结果表明，该算法可以有效确定河流水质模型参数，较单纯形法具有更好的收敛性、较混沌优化算法具有更快的收敛速度。
침대혼돈우화산법수렴속도교만적결점，장단순형산법화혼돈우화산법결합，구조단순형혼돈우화산법，병장해방법응용우분석일유하류수단시종시험수거，구해하류수질모형삼수적함수우화문제。결과표명，해산법가이유효학정하류수질모형삼수，교단순형법구유경호적수렴성、교혼돈우화산법구유경쾌적수렴속도。
To overcome the shortcomings of slow convergence of the chaos optimization algorithm, the simplex algorithm and the chaos optimization algorithm were combined to establish the simplex-chaos optimization algorithm. The established algorithm was used to analyze the tracer experiment data of the water quality of a one-dimensional river stream for estimation of the parameters of the water quality model. The results show that the established algorithm can effectively determine the parameters of the water quality model of the river, and it has better convergence compared with the simplex algorithm and faster convergence compared with the chaos optimization algorithm.