PERFORMANCE ANALYSIS OF ARTIFICIAL AND IMPROVED ARTIFICIAL BEE COLONY OPTIMIZATION ALGORITHM

Authors

  • Turewale Pooja Department of E&TC Engineering Dr. D. Y. Patil Institute of Technology, Pimpri, Pune – 411018
  • Thorat Ashwini Department of E&TC Engineering Dr. D. Y. Patil Institute of Technology, Pimpri, Pune – 411018
  • Patil Shivani Department of E&TC Engineering Dr. D. Y. Patil Institute of Technology, Pimpri, Pune – 411018
  • Mrs. Savita Jadhav Department of E&TC Engineering Dr. D. Y. Patil Institute of Technology, Pimpri, Pune – 411018

Keywords:

Artificial bee colony, improved artificial bee colony,WSN,Optimization.

Abstract

WSNs are networks that consist of sensors which are distributed in an Ad hoc manner. WSNs consist of
protocols and algorithms with self-organizing capabilities. Many natural systems of the most creatures in the world are
very rich topics for the scientific researchers. However, simple individual actions can assist to create a system able to
solve a real complex problem and perform very complicated tasks. In reality there are many patterns of such systems
like ant colonies, bird flocking, fish shoaling, animal herding, bacterial growth, bee colonies, and human neuron
system. The artificial bee colony (ABC) algorithm is a simple and effective optimization algorithm that can be applied to
solve many real-world optimization problems. In this paper, an improved artificial bee colony algorithm, named IABC,
is proposed. In this algorithm, a new search equation for onlooker bees is presented, in which the optimal and suboptimal solutions are considered in the iteration process. In this paper ABC and IABC algorithm are analyzed on the
basis of performance parameters such as best cost, time delay, distance traveled and system lifetime.

Published

2017-04-25

How to Cite

Turewale Pooja, Thorat Ashwini, Patil Shivani, & Mrs. Savita Jadhav. (2017). PERFORMANCE ANALYSIS OF ARTIFICIAL AND IMPROVED ARTIFICIAL BEE COLONY OPTIMIZATION ALGORITHM. International Journal of Advance Engineering and Research Development (IJAERD), 4(4), 1101–1108. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/2844