Neuromorphic Evolutionary Computation

Neuromorphic Evolutionary Computation is an evolutionary computation framework that integrates neuromorphic computing principles to emulate biologically plausible neural dynamics and synaptic plasticity in the optimization process, thereby distinguishing itself from conventional evolutionary algorithms through its hardware-aware, event-driven, and brain-inspired computational architecture.

31

Publications

1K

Citations

117

Authors

51

Institutions

Publications per year

2017–2026

12

Authors

117

  1. FM
    Fearghal Morgan

    Ollscoil na Gaillimhe – University of Galway, Ireland

    3 publications · 52 citations

    3

    h-index

  2. CD
    Catherine D. Schuman

    Oak Ridge National Laboratory, United States

    3 publications · 51 citations

    3

    h-index

  3. HD
    Hugo de Garis

    Incyte (United States), United States

    3 publications · 120 citations

    3

    h-index

  4. JH
    Jim Harkin

    University of Ulster, United Kingdom

    2 publications · 34 citations

    2

    h-index

  5. BG
    Brendan Glackin

    University of Ulster, United Kingdom

    2 publications · 34 citations

    2

    h-index

1–5 of 117

Venues

  1. New Generation Computing

    1 publications · 63 citations

    1

    h-index

  2. National Science Review

    NSR · 1 publications · 31 citations

    1

    h-index

  3. Nature

    1 publications · 206 citations

    1

    h-index

  4. 1

    h-index

  5. ACS Applied Materials & Interfaces

    1 publications · 17 citations

    1

    h-index

1–5