A Survey on Natural Inspired Computing (NIC): Algorithms and Challenges

A Survey on Natural Inspired Computing (NIC): Algorithms and Challenges

Krishnaveni. A

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GJCST Volume 19 Issue D3

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

Nature employs interactive images to incorporate end users’ awareness and implication aptitude form inspirations into statistical/algorithmic information investigation procedures. Nature-inspired Computing (NIC) is an energetic research exploration field that has appliances in various areas, like as optimization, computational intelligence, evolutionary computation, multi-objective optimization, data mining, resource management, robotics, transportation and vehicle routing. The promising playing field of NIC focal point on managing substantial, assorted and self-motivated dimensions of information all the way through the incorporation of individual opinion by means of inspiration as well as communication methods in the study practices. In addition, it is the permutation of correlated study parts together with Bio-inspired computing, Artificial Intelligence and Machine learning that revolves efficient diagnostics interested in a competent pasture of study. This article intend at given that a summary of Nature-inspired Computing, its capacity and concepts and particulars the most significant scientific study algorithms in the field.

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References

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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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Krishnaveni. 2019. \u201cA Survey on Natural Inspired Computing (NIC): Algorithms and Challenges\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D3): .

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GJCST Volume 19 Issue D3
Pg. 21- 37

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-D Classification: I.1.2

Submission ReceivedDecember 7, 2018
RevisedDecember 7, 2018
Peer Review Double Blind
Handling Editor
Accepted January 1, 2019
Published January 15, 2019

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v1.2

Issue date

July 17, 2019

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English

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