AI RESEARCH
Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design
arXiv CS.LG
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ArXi:2605.21055v1 Announce Type: cross 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