Publication:
A Review on Research Trends in using Cuckoo Search Algorithm: Applications and Open Research Challenges

cris.author.scopus-author-id 57205126225
cris.author.scopus-author-id 57210770305
cris.author.scopus-author-id 57202496362
cris.author.scopus-author-id 16053179200
cris.author.scopus-author-id 36010739800
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department c31cfd69-d8cb-404a-ac65-452f6737aa68
cris.virtualsource.department 44a6649f-a9bb-4b46-825c-01ed4d1c7058
cris.virtualsource.department 0e417395-5112-4de4-b98f-15166c9348ba
cris.virtualsource.department cae76d46-89a3-4156-bbaf-87d9a3dc9af7
dc.contributor.author Safdar K.
dc.contributor.author Khairul Najmy Abdul Rani
dc.contributor.author Hasliza A Rahim @ Samsuddin
dc.contributor.author Siti Julia Rosli
dc.contributor.author Mohd Aminudin Jamlos
dc.date.accessioned 2024-09-28T00:56:54Z
dc.date.available 2024-09-28T00:56:54Z
dc.date.issued 2023-01-01
dc.description.abstract This paper provides an exclusive understanding of the Cuckoo Search Algorithm (CSA) using a comprehensive review for various optimization problems. CSA is a swarm-based nature inspired, intelligent and metaheuristic approach, which is used to solve complex, single or multi objective optimization problems to provide better solutions with maximum or minimum parameters. It was developed in 2009 by Yang and Deb to emulate the breeding behaviour of cuckoos. Since CSA provides promising solutions to solve real world optimization problems, in recent years there have been introduced several new modified and hybridized CSAs using for different applications. In this regard this article provides a comprehensive survey including recent trends, modifications, open research challenges, applications, and related taxonomies for various optimization problems. The literature of this reviewed paper belongs to the domains of engineering, optimization, and pattern recognition. The aim of this review paper is to provide a detailed overview regarding CSA for possible future directions using the recent contributions.
dc.identifier.doi 10.15199/48.2023.05.04
dc.identifier.scopus 2-s2.0-85164813021
dc.identifier.uri https://hdl.handle.net/20.500.14170/5014
dc.relation.grantno undefined
dc.relation.ispartof Przeglad Elektrotechniczny
dc.relation.ispartofseries Przeglad Elektrotechniczny
dc.relation.issn 00332097
dc.subject Cuckoo Search Algorithm | Local Trap Problems | Metaheuristics | Optimization Problems | Swarm Intelligence Algorithms
dc.title A Review on Research Trends in using Cuckoo Search Algorithm: Applications and Open Research Challenges
dc.type Journal
dspace.entity.type Publication
oaire.citation.endPage 24
oaire.citation.issue 5
oaire.citation.startPage 18
oaire.citation.volume 1
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0000-0001-9566-0834
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.scopus-author-id 57205126225
person.identifier.scopus-author-id 57210770305
person.identifier.scopus-author-id 57202496362
person.identifier.scopus-author-id 16053179200
person.identifier.scopus-author-id 36010739800
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
research repository notification.pdf
Size:
4.4 MB
Format:
Adobe Portable Document Format
Description: