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Multi-objective transport path optimization method based on HIV epidemic dynamics

A technology for conveying paths and optimization methods, applied in the field of intelligent optimization algorithms, which can solve problems such as low dimensionality, difficulty in solving large-scale multi-objective conveying path combination optimization problems, and non-combined optimization of multi-objective conveying paths

Inactive Publication Date: 2016-11-16
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0023] To sum up, the existing technology can only solve the non-combinatorial optimization problem of multi-objective transportation path with low dimensionality, and it is difficult to solve the combination optimization problem of large-scale multi-objective transportation path with high dimensionality

Method used

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  • Multi-objective transport path optimization method based on HIV epidemic dynamics
  • Multi-objective transport path optimization method based on HIV epidemic dynamics
  • Multi-objective transport path optimization method based on HIV epidemic dynamics

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Embodiment Construction

[0218] The present invention will be described in further detail below in conjunction with specific examples.

[0219] (1) Determine the actual optimization problem to be solved, and transform the problem into the standard form described by the optimization model formula (1). Then, through the method of objective function weighting, the optimization model formula (1) is converted into the standard form described by the single-objective combined optimization model formula (2).

[0220] (2) Determine the parameters of the TPO_HIV method according to the method described in Table 2.

[0221] (3) Run TPO_HIV method to solve.

[0222] (4) For the following practical optimization problems, find the global optimal solution when n=100, 200, 400, 600, 800, 1000, 1200.

[0223] min{f 1 (X), f 2 (X)}

[0224] s.t.-10≤x i ≤10, i=1,2,...,n-3; x n-2 +x n-1 +x n ≥1;x n-2 , x n-1 , x n = 0 or 1

[0225] f 1 ( X ...

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Abstract

The invention discloses a multi-objective transport path optimization method based on HIV epidemic dynamics. It is assumed that an ecosystem consists of a number of crowds; an HIV virus spreads in the crowds, and people who are in effective contact with people with the HIV virus, are infected with the infectious disease; people who are not infected with the HIV virus are known as susceptible persons; after the susceptible persons are infected with the HIV virus, immediate onset does not occur, and the virus in the body enters an incubation period; people, whose HIV virus is in the incubation period, are known as HIV virus carriers, and such people are divided into two kinds, one kind is people who do not have the disease and have sexual intercourse, the kind of people become AIDS patients after a certain period of time, and ultimately die due to the AIDS; the other kind is people who have never had the disease and lose the sexual intercourse ability, and the kind of people eventually die a natural death; and under the action of the HIV virus, the growth state of each person is randomly changed, and by using the random variation and an HIV epidemic model, a global optimal solution of the multi-objective transport path combined optimization problem can be quickly obtained.

Description

technical field [0001] The invention relates to an intelligent optimization algorithm, in particular to a multi-objective transmission path optimization method based on HIV infectious disease dynamics. Background technique [0002] The general form of the combined optimization model considering multi-objective delivery routes is as follows: [0003] min{O 1 f 1 (X),O 2 f 2 (X),...,O M f M (X)} [0004] s . t . g i a ( X ) ≥ 0 ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16H50/80
Inventor 黄光球陆秋琴
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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