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Review of Environment and Earth Sciences

June 2014, Volume 1, 1, pp 11-14

Professor: The Animal Planet Optimization

Satish Gajawada

Satish Gajawada 1

  1. The Human, Hyderabad, Andhra Pradesh, India, Planet EARTH, Indian Institute of Technology, Roorkee, Uttaranchal, India 1

on Google Scholar
on PubMed

Pages: 11-14

DOI: 10.18488/journal.80/2014.1.1/80.1.11.14

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Abstract:

This paper is dedicated to everyone who is interested in making this planet a better place to live. In the past, researchers have explored behavior of several animals separately. But there is scope to explore in the direction where various artificial animals together solve the optimization problem.  In this paper, Satish Gajawada  proposed The AnimalPlanet Optimization. The concept of this paper is to imitate all the animals on this planet. The idea is to solve the optimization problem where all the artificial animals together solve the problem.
Contribution/ Originality
In this paper an attempt has been made to design an optimization algorithm based on several animals. Although in literature, animals are imitated separately to create optimization algorithms but there is lot of scope to explore in direction where several animals are imitated together in single optimization algorithm. One such algorithm has been designed in this paper.

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Reference:

  1. G. Satish, "Postdoc: The human optimization," Computer Science & Information Technology (CS & IT), vol. 03, pp. 183 -187.
  2. G. Satish and T. Durga, "GAP: Genetic algorithm based projected clustering method," presented at the 21st International Conference on Software Engineering and Data Engineering  (SEDE 2012), Los Angeles, California, USA, 2012.
  3. G. Satish, T. Durga, P. Nagamma, and G. Kumkum, "Optimal clustering method based on genetic algorithm," Socpros, pp. 295-303, 2011.
  4. G. Satish, "Durga toshniwal: A framework for classification using genetic algorithm based clustering," ISDA., pp. 752-757, 2012.
  5. G. Satish and T. Durga, "Projected clustering using particle swarm optimization," presented at the In International Conference on Computer, Communication, Control and Information Technology, 2012.
  6. G. Satish, "Smile theory of everything," in International Proceedings of Economics Development and Research, 2012.
  7. G. Satish and T. Durga, "VINAYAKA: A semi-supervised projected clustering method using differential evolution," International Journal of Software Engineering & Applications (IJSEA), vol. 3, 2012.
  8. G. Satish and T. Durga, "Projected clustering particle swarm optimization and classification," presented at the International Conference on Machine Learning and Computing, Singapore, 2012.

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