Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions

This paper presents the implementation analysis of the benchmark Rosenbrock and Levy test functions using the Cuckoo Search with emphasis on the effect of the search population and iterations count in the algorithms search processes. After many experimental procedures, this study revealed that deplo...

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Main Author: Odili, Julius Beneoluchi
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2018
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/29123/1/JICT%2017%2001%202018%2017-32.pdf
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author Odili, Julius Beneoluchi
author_facet Odili, Julius Beneoluchi
author_sort Odili, Julius Beneoluchi
collection UUM
description This paper presents the implementation analysis of the benchmark Rosenbrock and Levy test functions using the Cuckoo Search with emphasis on the effect of the search population and iterations count in the algorithms search processes. After many experimental procedures, this study revealed that deploying a population of 10 nests is sufficient to obtain acceptable solutions to the Rosenbrock and Levy test functions (or any similar problem to these test landscapes). In fact, increasing the search population to 25 or more nests was a demerit to the Cuckoo Search as it resulted in increased processing overhead without any improvement in processing outcomes. In terms of the iteration count, it was discovered that the Cuckoo Search could obtain satisfactory results in as little as 100 iterations. The outcome of this study is beneficial to the research community as it helps in facilitating the choice of parameters whenever one is confronted with similar problems.
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spelling uum-291232023-01-29T01:33:31Z https://repo.uum.edu.my/id/eprint/29123/ Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions Odili, Julius Beneoluchi TJ Mechanical engineering and machinery This paper presents the implementation analysis of the benchmark Rosenbrock and Levy test functions using the Cuckoo Search with emphasis on the effect of the search population and iterations count in the algorithms search processes. After many experimental procedures, this study revealed that deploying a population of 10 nests is sufficient to obtain acceptable solutions to the Rosenbrock and Levy test functions (or any similar problem to these test landscapes). In fact, increasing the search population to 25 or more nests was a demerit to the Cuckoo Search as it resulted in increased processing overhead without any improvement in processing outcomes. In terms of the iteration count, it was discovered that the Cuckoo Search could obtain satisfactory results in as little as 100 iterations. The outcome of this study is beneficial to the research community as it helps in facilitating the choice of parameters whenever one is confronted with similar problems. Universiti Utara Malaysia Press 2018 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/29123/1/JICT%2017%2001%202018%2017-32.pdf Odili, Julius Beneoluchi (2018) Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions. Journal of Information and Communication Technology, 17 (1). pp. 17-32. ISSN 2180-3862
spellingShingle TJ Mechanical engineering and machinery
Odili, Julius Beneoluchi
Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions
title Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions
title_full Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions
title_fullStr Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions
title_full_unstemmed Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions
title_short Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions
title_sort implementation analysis of cuckoo search for the benchmark rosenbrock and levy test functions
topic TJ Mechanical engineering and machinery
url https://repo.uum.edu.my/id/eprint/29123/1/JICT%2017%2001%202018%2017-32.pdf
work_keys_str_mv AT odilijuliusbeneoluchi implementationanalysisofcuckoosearchforthebenchmarkrosenbrockandlevytestfunctions