A Brief Survey on Nature Inspired Algorithms: Clever Algorithms for Optimization

Authors

  • P. Sindhuja Assistant Professor, United Institute of Technology, Coimbatore, Tamil Nadu, India
  • P. Ramamoorthy Professor, Sri Ranganadhar Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • M. Suresh Kumar Assistant Professor, Sri Ranganadhar Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.1.1835

Keywords:

optimization, collective intelligence, nature inspired, bio inspired algorithms

Abstract

This paper presents a brief survey on various optimization algorithms. To be more precise, the paper elaborates on clever Algorithms – a class of Nature inspired Algorithms. The Nature Inspired Computing (NIC) is an emerging area of research that focuses on Physics and Biology Based approach to the Algorithms for optimization. The Algorithms briefed in this paper have understood, explained, adapted and replicated the phenomena of Nature to replicate them in the artificial systems. This Cross – fertilisation of Nature Inspired Computing (NIC) and Computational Intelligence (CI) will definitely provide optimal solutions to existing problems and also open up new arenas in Research and Development. This paper briefs the classification of clever algorithms and the key strategies employed for optimization.

References

Jiˇrí Kubalík, “Biologically Inspired Algorithms (A4M33BIA) - Optimization: Conventional and Unconventional Optimization Techniques: Introduction to Soft Computing optimization”, 2008

Raymond Chiong, “Nature Inspired Algorithms for optimization”, Springer Journal of Computation Intelligence and Complexit, Ed., 2009.

Shilpi Gupta, Shweta Bhardwaj and Parul Kalra Bhatia, ““A reminiscent study of nature inspired computation”, International Journal of Advances in Engineering & Technology, May 2011.

Jason Brownlee PhD, “Clever Algorithms Nature-Inspired Programming Recipes”, 2011

S.Binitha and S. Siva Sathya, “A Survey of Bio inspired Optimization Algorithms”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Vol. 2, No. 2, May 2012 [6] Iztok Fister Jr., Xin-She Yang, Iztok Fister, Janez Brest, Dušan Fister arXiv:1307.4186 [cs.NE] , “A Brief Review of Nature-Inspired Algorithms for Optimization”, July 2013

N.Siddique and H. Adeli, “Nature Inspired Computing: An Overview and Some Future Directions”, Springer Journal of Cogn Comput, Vol.7, pp.706,2015.

Manas Kumar Yogi1 Darapu Uma, “A Survey of Nature Inspired Clever Algorithms”, International Journal for Scientific Research and Development, Vol. 4, No. 07, 2016.

Surjit Singh and Rajeev Mohan Sharma, “Optimization Techniques in Wireless Sensor Networks”, ACM Digital Library, March 4-5,2016.

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Published

05-05-2018

How to Cite

Sindhuja, P., Ramamoorthy, P., & Suresh Kumar, M. (2018). A Brief Survey on Nature Inspired Algorithms: Clever Algorithms for Optimization. Asian Journal of Computer Science and Technology, 7(1), 27–32. https://doi.org/10.51983/ajcst-2018.7.1.1835