Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJARAI.2015.040203
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 2, 2015.
Abstract: This work is related on two well-known algorithm, Improved Cuckoo Search and Artificial Bee Colony Algorithm which are inspired from nature. Improved Cuckoo Search (ICS) algorithm is based on Lévy flight and behavior of some birds and fruit flies and they have some assumptions and each assumption is highly observed to maintain their characteristics. Besides Artificial Bee Colony (ABC) algorithm is based on swarm intelligence, which is based on bee colony with the way the bees maintain their life in that colony. Bees’ characteristics are the main part of this algorithm. This is a theoretical result of this topic and a quantitative research paper.
Shariba Islam Tusiy, Nasif Shawkat, Md. Arman Ahmed, Biswajit Panday and Nazmus Sakib, “Comparative Analysis of Improved Cuckoo Search(ICS) Algorithm and Artificial Bee Colony (ABC) Algorithm on Continuous Optimization Problems” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(2), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040203