A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layouts

This article presents a cuckoo search algorithm, via Lévy flight, considering the effects of coevolution on the displacement dynamics of animal communities, and applies this algorithm to the development of maximally distributed physical arrangements. Some variables are introduced such as egg weight...

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Main Author: Yung C Shih
Format: Article
Language:English
Published: SAGE Publishing 2019-11-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1177/1748302619889523
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author Yung C Shih
author_facet Yung C Shih
author_sort Yung C Shih
collection DOAJ
description This article presents a cuckoo search algorithm, via Lévy flight, considering the effects of coevolution on the displacement dynamics of animal communities, and applies this algorithm to the development of maximally distributed physical arrangements. Some variables are introduced such as egg weight and the acquired learning of host birds. The results show that the proposed algorithm prevails, in the majority of the interviewed instances, in the degree of distribution in comparison with the classic TARGET and ALVO methods, and with the Genetic Algorithm. The proposed algorithm was shown to be able to obtain a low degree of distribution in a satisfactory computational time, especially in large problems.
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spelling doaj.art-94f016ac4ea144f1b31e6215bf7e63f12022-12-22T01:53:32ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30262019-11-011310.1177/1748302619889523A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layoutsYung C ShihThis article presents a cuckoo search algorithm, via Lévy flight, considering the effects of coevolution on the displacement dynamics of animal communities, and applies this algorithm to the development of maximally distributed physical arrangements. Some variables are introduced such as egg weight and the acquired learning of host birds. The results show that the proposed algorithm prevails, in the majority of the interviewed instances, in the degree of distribution in comparison with the classic TARGET and ALVO methods, and with the Genetic Algorithm. The proposed algorithm was shown to be able to obtain a low degree of distribution in a satisfactory computational time, especially in large problems.https://doi.org/10.1177/1748302619889523
spellingShingle Yung C Shih
A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layouts
Journal of Algorithms & Computational Technology
title A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layouts
title_full A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layouts
title_fullStr A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layouts
title_full_unstemmed A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layouts
title_short A cuckoo search algorithm: Effects of coevolution and application in the development of distributed layouts
title_sort cuckoo search algorithm effects of coevolution and application in the development of distributed layouts
url https://doi.org/10.1177/1748302619889523
work_keys_str_mv AT yungcshih acuckoosearchalgorithmeffectsofcoevolutionandapplicationinthedevelopmentofdistributedlayouts
AT yungcshih cuckoosearchalgorithmeffectsofcoevolutionandapplicationinthedevelopmentofdistributedlayouts