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Design method for improved mixed genetic algorithm optimizing water quality model parameter

A hybrid genetic algorithm and water quality model technology, applied in the design field of hybrid genetic algorithm to optimize water quality model parameters, can solve problems such as time-consuming, laborious, difficult to deal with accurately and effectively, and achieve the goal of improving selection effect, search ability and evolution speed Effect

Inactive Publication Date: 2007-01-24
NANJING UNIV
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Problems solved by technology

[0011] The purpose of the present invention is to provide an improved hybrid genetic algorithm to optimize the design method of water quality model parameters, which can solve the calibration problem of the parameter system in the modeling process that the traditional parameter calibration method is time-consuming, laborious and difficult to deal with accurately and effectively , so as to ensure the accurate and effective implementation of water quality simulation

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  • Design method for improved mixed genetic algorithm optimizing water quality model parameter
  • Design method for improved mixed genetic algorithm optimizing water quality model parameter
  • Design method for improved mixed genetic algorithm optimizing water quality model parameter

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Embodiment

[0068] The annual change of chlorophyll index of Chaohu Lake in Anhui, a shallow lake in China, was simulated by using the bay water quality model of Okusui in Tokyo Bay, Japan. In the parameter calibration optimization design of the model, the historical monitoring data of chlorophyll a in Chaohu Lake from 2002 to 2003 were used as calibration. Input the required local hydrometeorological data of the same period, and use the water quality parameters to be optimized as the genetic individuals of each generation in the evolution process of the genetic algorithm. ), output the calculated simulated value of each individual. The error function established between the calculated simulated value and the actual monitoring value of each individual in each generation is used as the objective function, and the transformed fitness is used as the basis and termination criterion for the evolution direction of the algorithm. When the individual fitness value is greater (the error is smaller)...

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Abstract

The present invention relates to design method of optimizing water quality model parameters in improved mixed genetic algorithm, and belongs to the field of water quality model parameter calibration optimizing method. The design method includes the following steps: preparing data for water quality model parameter calibration optimizing design; establishing and optimizing improved mixed genetic algorithm; improving adaptability degree function; mixing with simplex algorithm serially; running the algorithm program, inspecting the simulating result of different algorithms and completing the optimization after the error reaching the specified standard. The present invention can calibrate model parameters fast accurately, and raise the application efficiency of comprehensive water quality model in various water body researches.

Description

1. Technical field [0001] The present invention relates to an optimization method for calibrating water quality model parameters with a global optimal search function, especially an optimal method for calibrating parameters of multi-parameter complex water quality models that are discontinuous, non-differentiable, and highly non-linear. The optimization method, specifically, refers to an improved hybrid genetic algorithm design method for optimizing water quality model parameters. 2. Background technology [0002] In the study of water environment, it is necessary to understand the water flow and water quality of the water body. At present, the commonly used methods for studying water flow and water quality include on-site observation, physical model test and water quality model simulation. Among them, on-site observation can provide raw data for the physical model test, and is the main basis for checking the success of the physical model test. Of course, it also requires a ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/12
Inventor 钱新周斌张玉超尹大强
Owner NANJING UNIV
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