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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
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  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
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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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