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Quick software and hardware division method used for guaranteeing quality

A fast technology of software and hardware division, applied in the computer field, can solve problems such as easy to fall into local optimum, randomness of negative selection algorithm results, etc.

Active Publication Date: 2016-04-13
XIDIAN UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

Then, the results of the negative selection algorithm are randomly hit, and it is easy to fall into the disadvantage of local optimum

Method used

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  • Quick software and hardware division method used for guaranteeing quality
  • Quick software and hardware division method used for guaranteeing quality
  • Quick software and hardware division method used for guaranteeing quality

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Embodiment Construction

[0102] The following will be further described in combination with the attachment of the present invention. It should be explained that the example of this embodiment is based on the premise of this technical plan, which gives a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to this this. Example.

[0103] Such as Figure 5 As shown, a fast software and hardware division method with guaranteed quality includes the following steps:

[0104] S1 gives a task diagram describing the embedded system, first perform parameters and data structure settings, including self -set Self, self -update length ASELF, self -set minimum matching length BSELF, recording the concentration of 0 concentration on each gene bit, consisistence_0 And record the array consistency_1 of the concentration of 1 on each gene position, the crossover probability Pc and the mutation probability Pm;

[0105] S2 updates the self-set ...

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Abstract

The invention discloses a quick software and hardware division method used for guaranteeing quality. The quick software and hardware division method retains the crossover operation and the mutation operation of a genetic algorithm, imports a negative selection process of a negative selection algorithm and a strategy that a new individual is generated on the basis of allele concentration, and a novel evolution method is adopted to quicken an evolution process and guarantee the quality of the individual so as to overcome the defect of long time consumption of a traditional genetic algorithm and the defects that the negative selection algorithm is high in result randomness and is likely to fall into local optimum.

Description

technical field [0001] The invention relates to the technical field of computers, in particular to a method for dividing software and hardware of an embedded system model. Background technique [0002] With the rapid development of embedded systems and microelectronics technology, the integration of hardware is getting higher and higher, which makes it possible to integrate CPU, memory and I / O devices on a silicon chip, and SOC emerges at the historic moment, and with its Features such as high integration, good reliability, and short product launch cycle have gradually become the mainstream of current embedded system design technology. [0003] Aiming at the problems and challenges faced by embedded system Soc design, researchers began to explore a new design methodology——Hardware / Software Co-Design (Hardware / SoftwareCo-Design) methodology. Software-hardware co-design is not only a design technique, but also a new design methodology. Its core problem is to coordinate softwa...

Claims

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Application Information

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IPC IPC(8): G06F9/44G06N3/12
CPCG06F8/10G06N3/126
Inventor 段振华李炳岩张南黄伯虎田聪王小兵
Owner XIDIAN UNIV
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