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
81 days
Submission to first decision
261 days
Submission to acceptance
76,700 (2019)
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Latest issue

Volume 19

Issue 4, December 2020

Part 1: Special Issue: Advances in Swarm Intelligence: Algorithms and Applications 2 — Selected papers from the International Conferences on Swarm Intelligence (ICSE) and Data Mining and Big Data (DMBD) 2017 and 2018 / Special Issue: AUTOMATA 2018 — Selected papers from AUTOMATA 2018: International Workshop on Cellular Automata and Discrete Complex Systems

Latest articles

  1. Authors

    • Ying Tan
    • Yuhui Shi
    • Xin Yao
    • Content type: EditorialNotes
This journal has 56 open access articles

Journal updates

  • Announcement: COVID-19 impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1572-9796
Print ISSN
1567-7818
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