Dynamic service resource scheduling method based on genetic-ant colony fusion algorithm

A dynamic service and resource scheduling technology, applied in genetic rules, resources, computing, etc., can solve problems such as ignoring regional characteristics and low search efficiency of scheduling problems, and achieve time reduction, strong optimization and solution capabilities, and good iterative convergence Effect

Inactive Publication Date: 2019-10-01
HOHAI UNIV CHANGZHOU
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the lack of consideration of regional characteristics, scheduling problems under multi-objective models and low search efficiency in the prior art, and provide a dynamic service resource scheduling method based on genetic-ant colony fusion algorithm. The technical scheme is as follows :

Method used

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  • Dynamic service resource scheduling method based on genetic-ant colony fusion algorithm
  • Dynamic service resource scheduling method based on genetic-ant colony fusion algorithm
  • Dynamic service resource scheduling method based on genetic-ant colony fusion algorithm

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Embodiment 1

[0056] Taking an auto parts company as an example, its manufacturing process can be decomposed into five production subtasks, and each subtask can be subdivided into several processes, each process can be completed by at least one candidate resource, and the candidate resources are in different Therefore, the logistics time and logistics cost are generated. In this context, the scheduling problem of dynamic service resources in the cloud manufacturing environment is discussed. The relevant constraint information of the five production sub-tasks of the enterprise is shown in Table 1, and the candidate resource information that can complete the five sub-tasks in the cloud manufacturing service platform is initially searched in Table 2.

[0057] Table 1 Production subtask constraint information

[0058]

[0059] Table 2 Partial data information of candidate resources

[0060]

[0061]

[0062] After processing it according to the data in Table 2, the four major target v...

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Abstract

The invention discloses a Dynamic service resource scheduling method based on A genetic-ant colony fusion algorithm. The method comprises the following steps: S1, establishing a service task, and determining a dynamic service resource set; s2, selecting a genetic operator, and carrying out solving on the basis of the genetic operator to obtain an optimized solution with a high fitness value; s3, selecting an ant colony operator, carrying out transition on the genetic operator and the ant colony operator, and converting an optimization solution solved by the genetic operator into initial pheromone distribution of the ant colony operator; and S4, obtaining a scheduling scheme of the dynamic service resources based on the initial pheromone distribution. According to the method, the ant colonyalgorithm and the genetic algorithm are fused and then applied to the scheduling problem of the dynamic service resources, the utilization rate of the dynamic service resources is increased, the resource use time, cost and the like are reduced, and the production efficiency is improved. The method provided by the invention has relatively high optimization solving capability, and the iterative convergence is better than that of other algorithms and tends to be relatively high in stability. The utilization rate of resources can be improved, and the economic benefits of enterprises are increased.

Description

technical field [0001] The invention relates to a dynamic service resource scheduling method, in particular to a cloud manufacturing dynamic service resource scheduling method, which belongs to the technical field of industrial software operation. Background technique [0002] Due to the constraints of manufacturing, commercial transactions, and science and technology, my country's manufacturing industry is facing the problem of low utilization. In some high-precision enterprises and research institutes, "high, refined, and cutting-edge" resources are idle, while There is a shortage of resources in small enterprises, so my country's manufacturing resources urgently need to be integrated and shared. Based on the concept of "centralized sharing of decentralized resources, decentralized use of centralized services", cloud manufacturing connects service resource demanders, service resource providers, and cloud manufacturing service platform operators to provide users with ready-t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/00G06N3/12
CPCG06N3/006G06N3/126G06Q10/06315
Inventor 苑明海蔡仙仙顾文斌李亚东黄锦婷
Owner HOHAI UNIV CHANGZHOU
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