Hybridizing harmony search algorithm with cuckoo search for global numerical optimization

Wang, GG; Gandomi, AH; Zhao, X; Chu, HCE

Hybridizing harmony search algorithm with cuckoo search for global numerical optimization

Wang, GG Gandomi, AH Zhao, X Chu, HCE

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Soft Computing, 2016, 20, (1), pp. 273-285
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Wang, GG
dc.contributor.author	Gandomi, AH
dc.contributor.author	Zhao, X
dc.contributor.author	Chu, HCE
dc.date.accessioned	2022-08-12T20:50:43Z
dc.date.available	2022-08-12T20:50:43Z
dc.date.issued	2016-01-01
dc.identifier.citation	Soft Computing, 2016, 20, (1), pp. 273-285
dc.identifier.issn	1432-7643
dc.identifier.issn	1433-7479
dc.identifier.uri	http://hdl.handle.net/10453/160047
dc.description.abstract	For the purpose of enhancing the search ability of the cuckoo search (CS) algorithm, an improved robust approach, called HS/CS, is put forward to address the optimization problems. In HS/CS method, the pitch adjustment operation in harmony search (HS) that can be considered as a mutation operator is added to the process of the cuckoo updating so as to speed up convergence. Several benchmarks are applied to verify the proposed method and it is demonstrated that, in most cases, HS/CS performs better than the standard CS and other comparative methods. The parameters used in HS/CS are also investigated by various simulations.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Soft Computing
dc.relation.isbasedon	10.1007/s00500-014-1502-7
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 1702 Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Hybridizing harmony search algorithm with cuckoo search for global numerical optimization
dc.type	Journal Article
utslib.citation.volume	20
utslib.location.activity	Caceres, SPAIN
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-12T20:50:40Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	20
utslib.citation.issue	1

Abstract:

For the purpose of enhancing the search ability of the cuckoo search (CS) algorithm, an improved robust approach, called HS/CS, is put forward to address the optimization problems. In HS/CS method, the pitch adjustment operation in harmony search (HS) that can be considered as a mutation operator is added to the process of the cuckoo updating so as to speed up convergence. Several benchmarks are applied to verify the proposed method and it is demonstrated that, in most cases, HS/CS performs better than the standard CS and other comparative methods. The parameters used in HS/CS are also investigated by various simulations.

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http://hdl.handle.net/10453/160047