Natural Computing refers to computational processes observed in nature, and human-designed computing inspired by nature. When complex natural phenomena are analyzed in terms of computational processes, our understanding of both nature and the essence of computation is enhanced. Characteristic for human-designed computing inspired by nature is the metaphorical use of concepts, principles and mechanisms underlying natural systems. Natural computing includes evolutionary algorithms, neural networks, molecular computing and quantum computing.

The journal Natural Computing provides a forum for discovery in natural computing, offering links among researchers and insight into trends in an emerging specialty. The journal reports on theory, experiments, and applications, and covers natural computing from a very broad perspective, including use of algorithms to consider evolution as a computational process, and neural networks in light of computational trends in brain research.

Now indexed in ISI.

  • Explores computational processes observed in nature, and human-designed computing inspired by nature
  • Offers valuable insights into both natural sciences and computer science
  • Reports on theory, experiments, and applications, covering natural computing from a broad perspective

Journal information

Editors-in-Chief
  • Joost Kok
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.495 (2019)
Impact factor
1.297 (2019)
Five year impact factor
94 days
Submission to first decision
277 days
Submission to acceptance
104,017 (2020)
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Latest issue

Volume 20

Issue 1, March 2021

Part 1: Special Issues: Advances in Swarm Intelligence Algorithms 3 — Selected papers from the 9th and 10th International Conference on Swarm Intelligence and the 3rd and 4th International Conference on Data Mining and Big Data

Latest articles

This journal has 56 open access articles

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About this journal

Electronic ISSN
1572-9796
Print ISSN
1567-7818
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