English(EN) Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design

遗传编程使用Transformer变异进行电路设计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-20 11:42

研究人员开发了一种使用遗传编程的新方法来设计近似算术电路，该方法通过基于Transformer的变异算子进行增强。这种混合方法旨在通过整合标准的变异算子和新颖的基于Transformer的变异算子来克服进化设计过程中的停滞。该系统在代表近似乘法器的遗传编程染色体的大型数据集上进行了训练，并已证明与现有的最先进库相比，能够实现更好的误差和性能权衡。 AI

影响引入了一种新颖的基于Transformer的遗传编程变异方法，有望改进自动化电路设计并产生新的、可获得专利的设计。

排序理由该集群包含一篇详细介绍新颖电路设计方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新颖电路设计方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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arXiv cs.LG TIER_1 English(EN) · Lukas Sekanina · 2026-05-20 11:42

基于Transformer变异的遗传编程用于近似电路设计

A recent trend is to leverage machine learning models to improve the evolutionary design and optimization process. We propose a novel transformer-based mutation operator for Cartesian genetic programming (CGP) for the automated design of approximate arithmetic circuits. We introd…

本文如何被排名

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基于Transformer变异的遗传编程用于近似电路设计

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