A method for optimizing the allocation of service components of science and technology resources

A technology for resource service and optimal configuration, applied in the field of optimal configuration of resource service components, can solve the problem of lack of multi-level and multi-granularity technology resource service components, and achieve the effect of synchronization

Inactive Publication Date: 2019-03-01
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

The selection and combination of product application service components greatly affects the overall performance of the product application service platform, but there is still a lack of strict and effective methods to support the self-adaptive optimization combination of multi-level and multi-granularity technology resource service components

Method used

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  • A method for optimizing the allocation of service components of science and technology resources
  • A method for optimizing the allocation of service components of science and technology resources
  • A method for optimizing the allocation of service components of science and technology resources

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Embodiment 1

[0055] Embodiment one: if Figure 1-2 As shown, this embodiment adopts the method in the summary of the invention to carry out the specific optimization configuration, wherein the evolution calculation of the behavior parameter set is carried out by using the divergent tree method. The details are as follows, using the behavior object B h , three behavioral parameters ω, c 1 、c 2 About Behavior Object B h The value range of ψ 1 、ψ 2 、ψ 3 The triplet M=[B h ,(ω,c 1 ,c 2 ,),(ψ 1 、ψ 2 、ψ 3 )] to describe the population behavior parameter set, namely:

[0056]

[0057] The parameter set after the first-level divergence of the population behavior is given by the divergence tree method:

[0058] ψ 1 ={[ψ 11 ],[ψ 12 ],...,[ψ 1n ]};

[0059] ψ 2 ={[ψ 21 ],[ψ 22 ],...,[ψ 2n ]};

[0060] ψ 3 ={[ψ 31 ],[ψ 32 ],...,[ψ 3n ]};

[0061] Then, the corresponding evaluation method is used to converge the interval obtained from the divergence, and the parameter set ...

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Abstract

The invention discloses a method for optimizing the allocation of service components of science and technology resources , belonging to the field of optimized configuration of a resource service component. The method comprises the following steps: firstly, constructing a multi-objective optimal allocation model of scientific and technological resource service components; then, based on fuzzy matter-element analysis theory, the multi-objective combinatorial optimization model is transformed into a single-objective combinatorial optimization model. Finally, based on the single-objective combinatorial optimization model, the improved swarm intelligence algorithm is used to optimize the adaptive composition of multi-level and multi-granularity science and technology service components. Based on fuzzy matter-element analysis and improved swarm intelligence algorithm, this invention realizes the adaptive and optimal composition of multi-level and multi-granularity sci-tech resource service components, and also realizes the dynamic construction mode of resource service platform from service demand to service quality, resource utilization and service efficiency.

Description

technical field [0001] The invention relates to an optimal configuration method of a scientific and technological resource service component, belonging to the field of optimal configuration of a resource service component. Background technique [0002] In software engineering, the use of components to design and model complex software platforms is a key technology to solve the rapid development of enterprise information platforms and software reuse, and the selection and optimization of components are the key points of these technologies, which determine the overall software platform performance. The selection and combination of product application service components affect the overall performance of the product application service platform to a large extent, but there is still a lack of strict and effective methods to support the self-adaptive optimization combination of multi-level and multi-granularity technology resource service components. The method proposed by the pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/20G06N3/00G06N7/02
CPCG06F8/20G06N3/006G06N7/02
Inventor 徐凯阴艳超廖伟智吴仁杰
Owner KUNMING UNIV OF SCI & TECH
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