基于遗传规划的分布式嵌入式系统软硬件协同迭代改进算法

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI:10.5220/0010391501200125

Adam Górski, M. Ogorzałek

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引用次数: 2

摘要

在这项工作中，我们提出了一种新的基于遗传规划的迭代改进方法，用于分布式嵌入式系统的硬件/软件协同合成。该方法从一个现成的解决方案开始，即一个基因型的胚胎。基因型中的其他节点是染色体。染色体包含系统改进选项。经过进化过程并将基因型定位到表型后得到最终的解决方案。与现有的遗传规划迭代改进方法不同，我们的算法从随机生成的系统开始。因此，搜索空间不受任何初始条件的约束。该算法也更容易避免优化参数的局部极小值。

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Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems

In this work we present a novel genetic programming based iterative improvement approach for hardware/software cosynthesis of distributed embedded systems. The approach starts from a ready solution which is an embryo of a genotype. Other nodes in the genotypes are chromosomes. The chromosomes contain system refinement options. The final solution is obtained after evolution process and mapping genotype to phenotype. Unlike existing genetic programming iterative improvement methodologies our algorithm starts from randomly generated system. Therefore the search space is not constrained by any initial condition. It is also easier for the algorithm to escape local minima of optimizing parameters.

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... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks

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