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Service mode optimization method based on confidence perception

A technology of service mode and optimization method, applied in the field of service mode optimization based on confidence perception, can solve problems such as lack of comprehensive analysis, and achieve the effect of improving optimization effect, saving optimization time, and improving effect

Pending Publication Date: 2022-07-29
ZHEJIANG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, a comprehensive analysis of collaboration among actors is still missing

Method used

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  • Service mode optimization method based on confidence perception
  • Service mode optimization method based on confidence perception
  • Service mode optimization method based on confidence perception

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Embodiment Construction

[0050] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be pointed out that the following embodiments are intended to facilitate the understanding of the present invention, but do not have any limiting effect on it.

[0051] like figure 1 As shown, a confidence-aware-based service mode optimization method includes the following steps:

[0052] Step (1), input the original mode Pa to be optimized.

[0053] This embodiment takes the online travel reservation mode as an example. like figure 2 As shown, the customer performs travel registration, purchases transportation tickets, and applies for insurance in turn. Between each two operations, the customer needs to pay the financial institution first, then the travel platform, the transport company and the insurance company confirm the request and transfer the travel voucher, transport bill and insurance certificate. After all these activities, ...

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Abstract

The invention discloses a service mode optimization method based on confidence perception. The service mode optimization method comprises the following steps: (1) inputting an original mode Pa to be optimized; (2) initializing a candidate list PaList of an original mode Pa; (3) initializing the temperature T; (4) initializing confidence C; (5) the maximum number of iterations IterMax is initialized; (6) initializing a termination threshold Th; (7) according to the mode optimization index, a target mode Pa * is searched in a circulating mode, and the number of times of circulation is IterMax; (8) reducing the temperature T; and (9) if the mode Pa * obtained after the circulation of the step (7) is finished continuously keeps consistent for Th times, the obtained Pa * is an optimized target mode, and otherwise, the step (7) is skipped to. According to the method, the confidence mechanism is introduced, so that the search speed and the search stride can be dynamically adjusted in the search spaces with different optimization potentials, the optimization time is greatly saved, and the optimization effect is improved.

Description

technical field [0001] The invention belongs to the field of service mode calculation in software engineering, and in particular relates to a service mode optimization method based on confidence perception. Background technique [0002] Compared with traditional web services, current complex service systems usually consist of autonomous entities (called actors) from different domains and cloud services on different servers. In these complex service systems, participants can refer to virtual users or intelligent agents who need to collaborate and interact with other entities to continue the service process. In a collaborative process, data, resources, and value are transferred and exchanged between participants, and the overall paradigm used to describe this process is called a service model. [0003] A service model refers to the collaboration and exchange of data, resources, and value among different actors in a complex service system. The service pattern originates from ...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F111/06G06F119/08
CPCG06F30/20G06F2111/06G06F2119/08
Inventor 席萌尹建伟邓水光李莹
Owner ZHEJIANG UNIV
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