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
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- Thomas Bäck,
- Lila Kari,
- Susan Stepney,
- Xin Yao
Book titles in this series
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-
Combinatorial Optimization Using Quantum Computing
A Gentle Introduction
- Editors:
-
- Francisco Chicano
- Alberto Moraglio
- Ofer M. Shir
- Copyright: 2026
Available Renditions
- Hard cover
- eBook
-
Large Language Models and Evolutionary Computation
Generative AI for Meta-heuristics
- Authors:
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- Hitoshi Iba
- João E. Batista
- Jinglue Xu
- Copyright: 2026
Available Renditions
- Hard cover
- eBook
-
An Introduction to Metaheuristics for Optimization
- Authors:
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- Bastien Chopard
- Marco Tomassini
- Copyright: 2026
Available Renditions
- Hard cover
- eBook
-
Advances in Hyper-Heuristics
- Authors:
-
- Nelishia Pillay
- Rong Qu
- Copyright: 2025
Available Renditions
- Hard cover
- eBook
Abstracted and indexed in
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- DBLP
- Norwegian Register for Scientific Journals and Series
- SCImago
- SCOPUS
- zbMATH