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EvoML-EDA: Synergy of Evolutionary Algorithms and Advanced Machine Learning Algorithms for Digital Circuit Design

Public support

  • Provider

    Czech Science Foundation

  • Programme

  • Call for proposals

    SGA0202600003

  • Main participants

    Vysoké učení technické v Brně / Fakulta informačních technologií

  • Contest type

    VS - Public tender

  • Contract ID

    26-22525M

Alternative language

  • Project name in Czech

    EvoML-EDA: Synergy of Evolutionary Algorithms and Advanced Machine Learning Algorithms for Digital Circuit Design

  • Annotation in Czech

    This project develops a novel hybrid framework integrating evolutionary algorithms with advanced machine learning models to revolutionize digital circuit design. Current methodologies face significant challenges: evolutionary approaches suffer from inefficient blind operators and expensive evaluations, while ML-based approaches lack hardware-specific training data. Our framework addresses these limitations through ML-guided evolutionary operators, structure-aware surrogate models, and specialized techniques for emerging technologies and verification requirements. The synergistic combination leverages evolutionary algorithms' exploration capabilities with ML's pattern recognition power. We will validate our approach through diverse case studies, including approximate accelerators, the optimized process of design verification, medical signal classifiers, and superconducting circuits, advancing automated circuit design for both current and emerging technologies.

Scientific branches

  • R&D category

    ZV - Basic research

  • OECD FORD - main branch

    20206 - Computer hardware and architecture

  • OECD FORD - secondary branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • OECD FORD - another secondary branch

  • CEP - equivalent branches <br>(according to the <a href="http://www.vyzkum.cz/storage/att/E6EF7938F0E854BAE520AC119FB22E8D/Prevodnik_oboru_Frascati.pdf">converter</a>)

    AF - Documentation, librarianship, work with information<br>BC - Theory and management systems<br>BD - Information theory<br>IN - Informatics<br>JC - Computer hardware and software

Solution timeline

  • Realization period - beginning

    Jan 1, 2026

  • Realization period - end

    Dec 31, 2030

  • Project status

    Z - Beginning multi-year project

  • Latest support payment

Data delivery to CEP

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

  • Data delivery code

    CEP26-GA0-GM-R

  • Data delivery date

    May 26, 2026

Finance

  • Total approved costs

    24,180 thou. CZK

  • Public financial support

    24,180 thou. CZK

  • Other public sources

    0 thou. CZK

  • Non public and foreign sources

    0 thou. CZK