Method for grading land resource evaluation factors based on clonal selection algorithm

A clonal selection algorithm and evaluation factor technology, applied in the field of land resource evaluation factor classification based on the clone selection algorithm, can solve the problems of strong subjectivity, scientific classification results rely on expert experience, etc., and achieve the effect of promoting rational utilization

Active Publication Date: 2012-09-12
WUHAN UNIV
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Problems solved by technology

) The main disadvantage is that it is too subjective, and the scientif

Method used

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  • Method for grading land resource evaluation factors based on clonal selection algorithm
  • Method for grading land resource evaluation factors based on clonal selection algorithm
  • Method for grading land resource evaluation factors based on clonal selection algorithm

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Experimental program
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Embodiment

[0082] Embodiment adopts following sub-steps to realize:

[0083] Step 9.1, arrange the antibodies in the mutated antibody population obtained in step 7 in descending order according to the affinity obtained in step 8.

[0084] Step 9.2, replace antibodies with low affinity in the parent memory population with antibodies with high affinity in the new population; the basic method is to traverse the new population in order of affinity from high to low, and compare the current The affinity value of the antibody and the current antibody in the parental memory antibody; if the affinity of the antibody in the new population is greater than that of the parental antibody, replace the parental antibody; the remaining individuals in the new population are not used to update the parental memory antibody Will be deleted.

[0085] In step 9.3, the parental memory antibodies that have been replaced are rearranged in descending order according to the affinity value.

[0086] Step 10, immun...

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Abstract

The invention relates to a method for grading land resource evaluation factors based on the clonal selection algorithm, which makes full use of the advantages of the clonal selection algorithm in optimization problem solving and introduces the clonal selection algorithm into evaluation factor grading problem. According to the characteristics of the evaluation factor grading problem, a clonal selection algorithm affinity function and constraint conditions are designed, and a clonal selection algorithm model suitable for evaluation factor grading is constructed. The method provided by the invention can provide scientific and accurate basis for factor impact analysis for land resource quality evaluation, and further provides technical support for rational utilization of land resources.

Description

technical field [0001] The invention belongs to the technical field of land resource evaluation, in particular to a method for classifying land resource evaluation factors based on a clone selection algorithm. Background technique [0002] (1) Land resource quality evaluation technology [0003] With the advent of the 21st century, many global issues, such as population issues and food security issues, are becoming more and more severe. As a country with a large population, land resources are relatively scarce in China. How to use land rationally and realize the sustainable use of land resources is an urgent problem to be solved at present. Therefore, using scientific technical means and methods to evaluate the quality of land resources is a necessary means to promote the rational use of land resources. [0004] According to the definition of the Food and Agriculture Organization of the United Nations (FAO), land resource evaluation refers to the process of evaluating the ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/00
Inventor 刘耀林赵翔何建华焦利民刘殿锋唐旭
Owner WUHAN UNIV
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