Nature Inspired Computing: An Overview and Some Future Directions

This paper presents an overview of significant advances made in the emerging field of nature-inspired computing (NIC) with a focus on the physics- and biology-based approaches and algorithms. A parallel development in the past two decades has been the emergence of the field of computational intellig...

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Veröffentlicht in:Cognitive computation Jg. 7; H. 6; S. 706 - 714
Hauptverfasser: Siddique, Nazmul, Adeli, Hojjat
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.12.2015
Springer Nature B.V
Schlagworte:
Algorithms
Artificial Intelligence
Biology
Biomedical and Life Sciences
Biomedicine
Computation
Computation by Abstract Devices
Computational Biology/Bioinformatics
Electromagnetism
Fuzzy logic
Heuristic
Integer programming
Linear programming
Mathematical programming
Nature
Neural networks
Neurosciences
Physics
Problem solving
Science
Biology-based algorithms
Physics-based algorithms
Meta-heuristic algorithms
Nature-inspired computing
Search and optimisation
ISSN:1866-9956, 1866-9964
Online-Zugang:Volltext
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Zusammenfassung:This paper presents an overview of significant advances made in the emerging field of nature-inspired computing (NIC) with a focus on the physics- and biology-based approaches and algorithms. A parallel development in the past two decades has been the emergence of the field of computational intelligence (CI) consisting primarily of the three fields of neural networks, evolutionary computing and fuzzy logic. It is observed that NIC and CI intersect. The authors advocate and foresee more cross-fertilisation of the two emerging fields.
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ISSN:1866-9956
1866-9964
DOI:10.1007/s12559-015-9370-8