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Resource allocation matching method and device based on swarm intelligence algorithm, equipment and medium

A swarm intelligence algorithm and resource allocation technology, which is applied in the field of resource allocation matching based on swarm intelligence algorithm, can solve the problem of difficult to quickly count the resource allocation plan of the tax service hall and so on.

Active Publication Date: 2020-12-18
GUANGDONG RAYMON TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The inventor believes that in the existing tax service halls, due to the wide variety of business types and the different settings of the windows for the businesses that can be handled, there is a defect that it is difficult to quickly calculate the optimal resource allocation plan for the tax service halls

Method used

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  • Resource allocation matching method and device based on swarm intelligence algorithm, equipment and medium
  • Resource allocation matching method and device based on swarm intelligence algorithm, equipment and medium
  • Resource allocation matching method and device based on swarm intelligence algorithm, equipment and medium

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Embodiment

[0071] In this example, if figure 1 As shown, the present application discloses a resource configuration matching method based on swarm intelligence algorithm, which includes:

[0072] S10: Obtain a resource allocation recommendation plan request message of the target tax service office. The resource allocation recommendation plan request message includes the ID number of the target tax service office and a target time period for implementing the resource allocation recommendation plan.

[0073] In this embodiment, the target tax service office refers to the object of the tax service office that the user requests from the server to obtain the resource allocation recommendation plan; the resource allocation recommendation plan request message refers to the message sent by the user to the server requesting to obtain the resource allocation recommendation plan ; ID number refers to the identification number of the tax service hall, which is used to distinguish different tax servi...

Embodiment 2

[0182] In an embodiment, a resource configuration matching device based on a swarm intelligence algorithm is provided, and the resource configuration matching device based on a swarm intelligence algorithm corresponds to the resource configuration matching method based on a swarm intelligence algorithm in the above-mentioned embodiments. Such as Figure 8 As shown, the resource configuration matching device based on swarm intelligence algorithm includes a message acquisition module 10 , a scene data simulation module 20 , a preliminary solution construction module 30 , an initial solution space construction module 40 and a recommended solution determination module 50 . The detailed description of each functional module is as follows:

[0183] The message obtaining module 10 is used to obtain the resource allocation recommendation scheme request message of the target tax service office, the resource allocation recommendation scheme request message includes the ID number of the ...

Embodiment 3

[0215] In one embodiment, a computer device is provided, the computer device may be a server, and its internal structure diagram may be as follows Figure 9 shown. The computer device includes a processor, memory, network interface and database connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used to store the business volume prediction model, historical data, difficulty coefficient business volume sequence, the first relative handling window sequence, the first absolute handling window sequence, and the second relative handl...

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Abstract

The invention relates to a resource allocation matching method and device based on a swarm intelligence algorithm, equipment and a medium. The method comprises the following steps: according to the IDnumber of a target tax service hall, acquiring a target difficulty coefficient business volume sequence and window setting data corresponding to the target tax service hall in a target time period, wherein the window setting data comprise a window opening number and a service packet sequence; constructing a preliminary resource allocation scheme by using a greedy algorithm according to a target difficulty coefficient service volume sequence, window setting data and the service packet sequence; constructing an initial solution space of particle swarm search according to the preliminary resource allocation scheme in combination with the weight coefficients of priorities relative to the windows; and according to the initial solution space of the particle swarm search, globally searching fora resource allocation recommendation scheme of the target tax service hall by using the particle swarm and taking a KL divergence value as an optimization target. According to the invention, an optimal resource allocation scheme can be intelligently and efficiently searched and recommended to the tax service hall, and the utilization rate of tax resources is improved.

Description

technical field [0001] The present invention relates to the technical field of resource allocation for taxation, in particular to a resource allocation matching method, device, equipment and medium based on a swarm intelligence algorithm. Background technique [0002] At present, according to statistics, in many tax service halls in a region, the total time for handling business between windows varies greatly. Some windows handle business for several times longer than other windows, and even exceed In the case of high workload, there is also the phenomenon that some windows of the same tax service hall are idle, which leads to a large difference in the waiting time of taxpayers who go to the tax service hall to handle business at the same time. According to research and analysis, the complexity of the window tax staff's handling of business and the number of windows that can be opened for the business will affect the window processing time. Therefore, the key to solving the ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q40/00G06N3/00
CPCG06Q10/04G06Q10/0631G06Q10/067G06Q40/10G06N3/006
Inventor 梁国松陈晓晟
Owner GUANGDONG RAYMON TECH
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