A pumping station optimization method based on artificial fish swarm algorithm

Abstract

The invention belongs to the technical field of water conservancy information, and specifically relates to a pumping station optimization method based on an artificial fish swarm algorithm; the technical problem to be solved is: to provide a fast, effective and accurate pumping station optimization scheduling to promote efficient water resources The pumping station optimization method based on the artificial fish swarm algorithm is used; the technical scheme adopted is: S101, initialize the system parameters; S102, initialize the fish swarm within the allowable range of the variables, and obtain the objective function value of each artificial fish; S103, iteratively seek Excellent, perform clustering behavior and rear-end chasing behavior on the artificial fish respectively, compare the function values ​​of the two behaviors, and select the behavior with a larger function value to execute; S104, judge whether the number of iterations reaches the maximum allowable number of iterations, if so, stop the iterative operation , output the maximum function value, otherwise continue to iterate; the present invention is applicable to the field of water conservancy.

Description

technical field [0001] The invention belongs to the technical field of water conservancy information, and in particular relates to a pumping station optimization method based on an artificial fish swarm algorithm. Background technique [0002] The research on joint scheduling of pumping stations in my country's water conservancy system has always been a key issue in strengthening the efficient use of water resources and water environment protection. For example, China's large-scale water conservancy project, the South-to-North Water Diversion East Route Project, has been completed and put into operation. The East Route Project involves the scheduling of multi-stage pumping stations. At present, the cascade pumping stations on the eastern route of the South-to-North Water Diversion Project lack scientific and effective control and management. They mainly rely on human experience and simple technical indicators to roughly control the operation of the pumping stations. The pum...

AI Technical Summary

Problems solved by technology

However, with its development and application, some shortcomings have also been discovered: the blindness of the algorithm search is relatively large in the later stage, and the algorithm optimization process becomes complicated and the accuracy is not high due to the fixed field of view and step size.

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