Search Results - algorithm evolution

Search alternatives:

  1. Charting the Intelligence Frontiers – Edge AI Systems Nexus

    Published 2026
    “…From the complexities of advanced algorithms and the design of novel edge AI hardware accelerators to the architecture of next-generation communication networks, AI frameworks and software systems, the EEAI fosters a vibrant exchange of ideas that are following the future and actively defining it. …”
    Get full text
    Online
  2. Numerical and Evolutionary Optimization 2024

    Published 2026
    Subjects: “…Differential evolution…”
    Get full text
    Online
  3. Swarm Intelligence and Evolutionary Algorithms for Real World Applications

    Published 2026
    “…They include hybrid neural–evolutionary strategies for portfolio optimisation, evolutionary approaches for identifying circadian-modulating molecules, and grammatical evolution for automatic generation of synthesizable hardware code. …”
    Get full text
    Online
  4. Labour Law and Economic Policy by Todolí-Signes, Adrián

    Published 2026
    “…It begins with a study of the reasons that gave rise to labour law in the context of the Industrial Revolution and its evolution, and moves on to analyse the current context dominated by globalisation and economic digitisation. …”
    Get full text
    Online
  5. Fundamental Approaches to Software Engineering

    Published 2021
    Subjects: “…software evolution…”
    Get full text
    Online
  6. Advanced Mobile Robotics: Volume 1 by Kim, DaeEun

    Published 2021
    Subjects: “…PID algorithm…”
    Get full text
    Online
  7. Advanced Mobile Robotics: Volume 2 by Kim, DaeEun

    Published 2021
    Subjects: “…PID algorithm…”
    Get full text
    Online
  8. Advanced Mobile Robotics: Volume 3 by Kim, DaeEun

    Published 2021
    Subjects: “…PID algorithm…”
    Get full text
    Online
  9. Éloge du flou : Aux frontières des mathématiques et de l’intelligence artificielle by Arturo Sangalli

    Published 2021
    “…S’appuyant sur la description de nombreux cas, il présente les principes des trois grandes techniques de calcul mises en œuvre dans un domaine où sont impliquées à la fois les mathématiques, l’informatique et l’intelligence artificielle : • les réseaux de neurones : assemblages d’unités de calcul simples pouvant acquérir des connaissances à la manière du cerveau, par l’exemple ou par la pratique ; • les algorithmes génétiques : ensembles de processus imitant les phénomènes biologiques de l’évolution, dans lesquels le hasard joue un rôle prépondérant ; • la logique floue : méthode mathématique qui permet de transmettre aux machines la souplesse du langage et du raisonnement humains pour traiter des données imprécises.…”
    Get full text
    Online