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KM (Kermack-Mckendrich) infectious disease model-based function optimization method

A function optimization, infectious disease technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc.

Inactive Publication Date: 2013-07-24
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0015] In order to solve the problems in the above-mentioned prior art, the object of the present invention is to provide a function optimization method based on the KM infectious disease model—SIR algorithm. Solve provides a solution

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  • KM (Kermack-Mckendrich) infectious disease model-based function optimization method
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  • KM (Kermack-Mckendrich) infectious disease model-based function optimization method

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Embodiment Construction

[0179] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.

[0180] As shown in the attached figure, the processing flow of the SIR algorithm is as follows (start period is t=0):

[0181] (1) During period t, randomly generate the disease infection rate β and cure rate r of individual i in the ecosystem.

[0182] (2) Use KM model (3) to calculate the susceptibility rate S of period t for individual i i (t), infection rate I i (t) and eliminate more R i (t).

[0183] (3) in {S i (t), I i (t), R i (t)} to determine which one is the largest? There are three situations:

[0184] (3.1) If S i (t) is the largest, indicating that individual i will be in S state (that is, not infected) in period t, and then judge what state individual i was in (that is, period t-1), there are three situations:

[0185] (A) If the individual i was in the S state, it means that the individual i was not infected wi...

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Abstract

The invention discloses a KM (Kermack-Mckendrich) infectious disease model-based function optimization method, i.e., an SIR (Susceptible-Infective-Removed) algorithm. Based on an KM infectious disease model, suppose that N biological individuals exist in a certain ecological system, and each biological individual is represented by n characteristics; the ecological system has an infectious disease and the infectious disease is infected among the N biological individuals; the biological individuals exchange information with one another through an infection operator, a pathological operator, a cure operator, an immune operator and an activity operator; the individual with high PPI (Population Physique Index) transfers information on strong characteristic to the individual with low PPI through the pathological operator and the immune operator, so that the individual with the low PPI index can grow towards a good direction; one individual acquires average characteristic information of some other individuals through the infection operator and the cure operator, so that the probability that the individual gets in locally optimal solution is reduced; the search scope is expanded by improving the activity of the individual through the activity operator; and the algorithm has the characteristics of strong search capacity and global convergence and provides a method for solving a complex function optimization problem.

Description

technical field [0001] The invention relates to an intelligent optimization algorithm, in particular to a function optimization method based on a KM infectious disease model—SIR algorithm. Background technique [0002] Consider general function optimization problems [0003] minf(X) [0004] s . t . g i ( X ) ≥ 0 , i = 1,2 , · · · , I h i ( X ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 黄光球陆秋琴
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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