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Reseach Article

Advanced Cuckoo Search Algorithm for Optimization Problem

by Nasif Shawkat, Shariba Islam Tusiy, Md. Arman Ahmed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 2
Year of Publication: 2015
Authors: Nasif Shawkat, Shariba Islam Tusiy, Md. Arman Ahmed
10.5120/ijca2015907299

Nasif Shawkat, Shariba Islam Tusiy, Md. Arman Ahmed . Advanced Cuckoo Search Algorithm for Optimization Problem. International Journal of Computer Applications. 132, 2 ( December 2015), 31-36. DOI=10.5120/ijca2015907299

@article{ 10.5120/ijca2015907299,
author = { Nasif Shawkat, Shariba Islam Tusiy, Md. Arman Ahmed },
title = { Advanced Cuckoo Search Algorithm for Optimization Problem },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 2 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 31-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number2/23568-2015907299/ },
doi = { 10.5120/ijca2015907299 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:28:06.142720+05:30
%A Nasif Shawkat
%A Shariba Islam Tusiy
%A Md. Arman Ahmed
%T Advanced Cuckoo Search Algorithm for Optimization Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 2
%P 31-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For optimization tasks the most important and powerful algorithms are those which are inspired by the nature. The main goal of this work is the betterment of an existing algorithm called Cuckoo Search (CS) Algorithm. Cuckoo Search Algorithm (CS) is inspired from nature and related with Meta heuristic portion. This algorithm is based on random process and has behavior of some birds and fruit flies and some assumptions. Each assumption is highly observed to maintain their characteristics. This is a theoretical result research paper, of betterment for the Cuckoo Search (CS) Algorithm.

References
  1. D. Karaboga, "An Idea Based On Honey Bee Swarm for Numerical Optimization," Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
  2. S. I. Tusiy, N. Shawkat, M. A. Ahmed, B. Panday and N. 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), vol. 4, no. 2, pp. 14-19, 2015.
  3. X. S. Yang, "Nature-Inspired Metaheuristic Algorithms," LuniverPress,UK, 2008.
  4. IJAIA, "International Journal of Artificial Intelligence & Applications," vol. 2, July 2011.
  5. M. Gendreau, "Handbook of Metaheuristics," in An introduction to tabu search, Kluwer Academic Publishers, 2003, p. 37–54.
  6. X. Yang and S. Deb, "Engineering Optimisation by Cuckoo Search," in Int. J. Mathematical Modelling and Numerical Optimisation, 2010, p. 330–343.
  7. X.-S. Yang, "Bat algorithm: literature review and applications," Int. J. Bio-Inspired Computation, vol. 5, p. 141–149, 2013.
  8. I. J. Fister, D. Fister and X.-S. Yang, "A hybrid bat algorithm," in Elek-trotehniskivestnik, press, 2013.
  9. X.-S. Yang and s. H. Xing, "Firefly Algorithm: Recent Advances and Applications," Int. J. Swarm Intelligence, vol. 1, p. 36–50, 2013.
  10. X.-S. Yang, "Firefly algorithms for multimodal optimization," Stochastic Algorithms: Foundations and Applications, SAGA 2009, Lecture Notes in Computer Sciences, vol. 5792, pp. 169-178, 2009.
  11. X.-S. Yang, "Flower pollination algorithm for global optimiza-tion," Unconventional Computation and Natural Computation 2012,Lecture Notes in Computer Science, vol. 7445, pp. 240-249, 2012.
  12. D. Karaboga, "An Idea Based on Honey Bee Swarm for Numerical Optimization.Technical Report-TR06," in Erciyes University, Computer Engineering Department, 2005.
  13. M. Kiran and A. Babalik, "Improved Artificial Bee Colony Algorithm for Continuous Optimization Problems," Journal of Computer and Communications, vol. 2, pp. 108-116, 2014.
  14. A. Farzindar and V. (. Keselj, Canadian AI 2010, LNAI 6085, 2010.
  15. I. J. Fister, X. Yang, D. Fister and I. Fister, "Cuckoo search: A brief literature review," Cuckoo Search and Firefly Algorithm: Theory and Applications, Studies in Computational Intelligence, vol. 516, pp. 49-62, 2014.
  16. X.-S. Yang, Optimization Problem, Department of Engineering,University of Cambridge, Trumpinton Street, Cambridge CB2 1PZ, UK.
  17. M. Gendreau, "An introduction to tabu search," in Handbook of Metaheuristics, Kluwer Academic Publishers, 2003, p. 37–54.
  18. E. Valian, S. Mohanna and S. Tavakoli, "Improved Cuckoo Search Algorithm for Global Optimization," University of Sistan and Baluchestan, Dec. 2011.
  19. X.-S. Yang, Cuckoo Search via L´evy Flights, Department of Engineering,University of Cambridge, Trumpinton Street, Cambridge CB2 1PZ, UK. Clifford T. Brown, "Lévy Flights in DobeJu/’hoansi Foraging Patterns," 777 Glades Road, Boca Raton, FL 33431, USA, Department of Anthropology, Florida Atlantic University , 6 December 2006, p. 129–138.
Index Terms

Computer Science
Information Sciences

Keywords

Meta heuristic Bioinformatics Nature Inspired Algorithms Cuckoo Search (CS) algorithm Improved Cuckoo Search (ICS) algorithm Lévy flight.