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Genetic Cuckoo Optimization Algorithm (GCOA)

by M. Z. Rashad, A. E. Keshk, M. A. El-dosuky, M. M. Kamal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 3
Year of Publication: 2014
Authors: M. Z. Rashad, A. E. Keshk, M. A. El-dosuky, M. M. Kamal
10.5120/15552-4187

M. Z. Rashad, A. E. Keshk, M. A. El-dosuky, M. M. Kamal . Genetic Cuckoo Optimization Algorithm (GCOA). International Journal of Computer Applications. 90, 3 ( March 2014), 7-12. DOI=10.5120/15552-4187

@article{ 10.5120/15552-4187,
author = { M. Z. Rashad, A. E. Keshk, M. A. El-dosuky, M. M. Kamal },
title = { Genetic Cuckoo Optimization Algorithm (GCOA) },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 3 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number3/15552-4187/ },
doi = { 10.5120/15552-4187 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:06.014108+05:30
%A M. Z. Rashad
%A A. E. Keshk
%A M. A. El-dosuky
%A M. M. Kamal
%T Genetic Cuckoo Optimization Algorithm (GCOA)
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 3
%P 7-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Optimization is considered as the main impact of insight problem and heuristic methods. A proposed method is represented by using two optimization algorithms; cuckoo optimization; is heuristic method and Genetic algorithm; is meta-heuristic method in order to increase the optimization level and speed of calculation as possible. The proposed methodology and technique still a subject for improvements and enhancements for increasing its speeding up more and more. The proposed method is applicable for many industrial fields, agricultural fields and other provided that having optimization problem; just reconfigure problem parameters and have good opportunity to optimize well the problem.

References
  1. Xin-She Yang, Suash Deb," Cuckoo Search via L´evy Flights", World Congress on Nature & Biologically Inspired Computing (NaBIC 2009).
  2. Blum C. and Roli A. , Metaheuristics in combinatorial optimization: Overview and concepturalcomparision, ACM Comput. Surv. , 35, 268- 308 (2003).
  3. X. S. Yang and S. Deb, "Engineering optimization by cuckoo search," International Journal of Mathematical Modelling and Numerical Optimization, vol. 4, pp. 330–343, 2010.
  4. E. Hopper and B. C. H. Turton," An Empirical Investigation of Meta-heuristic and Heuristic Algorithms for a 2D Packing Problem", European Journal of Operational Research 128/1, 34-57, 2000.
  5. HongqingZHENG ,Yongquan ZHOU ," A Novel Cuckoo Search Optimization Algorithm Base on Gauss Distribution", Journal of Computational Information Systems 8: 10 (2012) 4193–4200.
  6. KhairulNajmy, Mohd. Fareq, "Nature-inspired Cuckoo Search Algorithm for Side Lobe Suppression in a Symmetric Linear Antenna Array", RADIOENGINEERING, VOL. 21, NO. 3, SEPTEMBER 2012.
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  8. Yongquan Zhou and Hongqing Zheng ,"A Novel Complex Valued Cuckoo Search Algorithm", Hindawi Publishing Corporation ,The Scientific World Journal Volume 2013, Article ID 597803, 6 pages
  9. A. Kaveh, T. Bakhshpoori and M. Ashoory," an efficient optimization procedure based on cuckoo search algorithm for practical design of steel structures", international journal of optimization in civil engineering Int. J. Optim. Civil Eng. , 2012; 2(1):1-14
  10. Hongqing Zheng, Yongquan Zhou and PeigangGuo, "Hybrid Genetic-cuckoo Search Algorithm for Solving Runway Dependent Aircraft Landing Problem", Research Journal of Applied Sciences, Engineering and Technology 6(12): 2136-2140, 2013
  11. Yang, X. -S. , and Deb, S. (2010), "Engineering Optimisation by Cuckoo Search", Int. J. Mathematical Modelling and Numerical Optimisation, Vol. 1, No. 4, 330–343 (2010).
Index Terms

Computer Science
Information Sciences

Keywords

Cuckoo Heuristics Methods Meta Heuristics Methods L´evy Flights Optimization Algorithms Genetic Algorithm insight problems.

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