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Cellular automaton river bed evolution prediction method based on natural selection ant colony algorithm

A cellular automaton and ant colony algorithm technology, applied in the field of intelligent algorithms, can solve problems such as complex prediction methods and low work efficiency

Inactive Publication Date: 2015-06-24
WUHAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for predicting the river bed evolution based on the natural selection ant colony algorithm, which solves the problems that the current river bed evolution prediction method is complex and has low work efficiency

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  • Cellular automaton river bed evolution prediction method based on natural selection ant colony algorithm
  • Cellular automaton river bed evolution prediction method based on natural selection ant colony algorithm
  • Cellular automaton river bed evolution prediction method based on natural selection ant colony algorithm

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Embodiment Construction

[0067] The present invention will be described in detail below in combination with specific embodiments.

[0068] Cellular automata can simulate spatial information well. The key to this model is how to define the conversion rules. However, most of the conversion rules extracted at present are implicit, and the rules are expressed through mathematical formulas. How to determine the parameters in the formula is more difficult. . The ant colony algorithm is very suitable for extracting the conversion rules of cellular automata. This algorithm imitates the way ants look for food to construct conversion rules. The conversion rules extracted by it do not need to be expressed by mathematical formulas, which can be more convenient and accurate Describe the complex relationships in nature, and these rules are easier to understand than mathematical formulas, and then use the constructed model to train and learn the time series data of river bed evolution.

[0069] Such as Figure 1 t...

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Abstract

The invention discloses a cellular automaton river bed evolution prediction method based on a natural selection ant colony algorithm. The method includes the steps of obtaining data and establishing a corresponding database, wherein the database includes river bed evolution property data and geographic space data; establishing a river bed evolution prediction model, predicting and analyzing river bed evolution, and finally outputting a prediction result; establishing the ant colony algorithm through the river bed evolution prediction model, optimizing the ant colony algorithm through a natural selection strategy, establishing a cellular automaton algorithm model through the optimized ant colony algorithm, and applying the established model to river bed evolution prediction. The advantage that an improved cellular automaton is fully used for better simulating the space information is fully used, and the prediction method is simple and high in efficiency.

Description

technical field [0001] The invention belongs to the technical field of intelligent algorithms, and relates to a method for predicting the evolution of a cellular automaton river bed based on a natural selection ant colony algorithm. Background technique [0002] Existing algorithms have complex methods for predicting riverbed evolution, and the prediction accuracy is low. [0003] The riverbed evolution is the result of the interaction between the river flow and the riverbed and the continuous spatiotemporal changes. The riverbed evolution is affected by many factors. The factors affecting the riverbed evolution are complex and changeable. In addition to their interaction, the riverbed evolution is extremely complicated and the law is difficult to find. Prediction of riverbed evolution is one of the important contents of riverbed evolution analysis. How to use scientific and appropriate methods to study riverbed evolution prediction is a research hotspot in this field. The ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 董文永董学士王豫峰刘宇航丁红
Owner WUHAN UNIV
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