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

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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