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Simplex-chaos optimization algorithm for parameter estimation of water quality model of river

Yuan Hu

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Abstract

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.

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What this paper is about

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.

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Available abstract

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.

Key concepts: Simplex algorithm, Convergence (economics), Simplex, Optimization algorithm, CHAOS (operating system), Algorithm, Computer science, Mathematical optimization

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