About this book series

The Natural Computing book series covers theory, experiment, and implementations at the intersection of computation and natural systems. This includes:

  • Computation inspired by Nature: Paradigms, algorithms, and theories inspired by natural phenomena. Examples include cellular automata, simulated annealing, neural computation, evolutionary computation, swarm intelligence, and membrane computing.
  • Computing using Nature-inspired novel substrates: Examples include biomolecular (DNA) computing, quantum computing, chemical computing, synthetic biology, soft robotics, and artificial life.
  • Computational analysis of Nature: Understanding nature through a computational lens.  Examples include systems biology, computational neuroscience, quantum information processing.

Electronic ISSN
2627-6461
Print ISSN
1619-7127
Series Editor
  • Thomas Bäck,
  • Lila Kari,
  • Susan Stepney,
  • Xin Yao

Book titles in this series

  1. Robot Evolution

    From Evolutionary Robotics to Physical AI

    Authors:
    • A.E. Eiben
    • Karine Miras
    • Emma Hart
    • Copyright: 2026

    Available Renditions

    • Hard cover
    • eBook

Abstracted and indexed in

  1. DBLP
  2. Norwegian Register for Scientific Journals and Series
  3. SCImago
  4. SCOPUS
  5. zbMATH