Firefly algorithm and pattern search hybridized for global optimization

Mahdiyeh Eslami; Hussain Shareef; Mohammad Khajehzadeh

doi:10.1007/978-3-642-39482-9_20

Firefly algorithm and pattern search hybridized for global optimization

Mahdiyeh Eslami, Hussain Shareef, Mohammad Khajehzadeh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Firefly optimization algorithm is one of the latest swarm intelligence based optimization algorithm. A new hybrid optimization algorithm, which combines pattern search with firefly algorithm, namely FAPS, is proposed for numerical global optimization. There are two alternative phases of the proposed algorithm: the global exploration phase realized by firefly algorithm and the exploitation phase completed by pattern search. The performance of the proposed FAPS algorithm was tested on a comprehensive set of benchmark functions. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and the performance of firefly algorithm is much improved by introducing a pattern search method.

Original language	English
Title of host publication	Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings
Pages	172-178
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-642-39482-9_20
Publication status	Published - 2013
Externally published	Yes
Event	9th International Conference on Intelligent Computing, ICIC 2013 - Nanning, China Duration: Jul 28 2013 → Jul 31 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7996 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Intelligent Computing, ICIC 2013
Country/Territory	China
City	Nanning
Period	7/28/13 → 7/31/13

Keywords

firefly algorithm
global optimization
hybridization
pattern search

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-39482-9_20

Cite this

Eslami, M., Shareef, H., & Khajehzadeh, M. (2013). Firefly algorithm and pattern search hybridized for global optimization. In Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings (pp. 172-178). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7996 LNAI). https://doi.org/10.1007/978-3-642-39482-9_20

Firefly algorithm and pattern search hybridized for global optimization. / Eslami, Mahdiyeh; Shareef, Hussain; Khajehzadeh, Mohammad.
Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings. 2013. p. 172-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7996 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Eslami, M, Shareef, H & Khajehzadeh, M 2013, Firefly algorithm and pattern search hybridized for global optimization. in Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7996 LNAI, pp. 172-178, 9th International Conference on Intelligent Computing, ICIC 2013, Nanning, China, 7/28/13. https://doi.org/10.1007/978-3-642-39482-9_20

Eslami M, Shareef H, Khajehzadeh M. Firefly algorithm and pattern search hybridized for global optimization. In Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings. 2013. p. 172-178. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-39482-9_20

Eslami, Mahdiyeh ; Shareef, Hussain ; Khajehzadeh, Mohammad. / Firefly algorithm and pattern search hybridized for global optimization. Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings. 2013. pp. 172-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{81a4f83c5f3240f5bbce012fe7e0eaf5,

title = "Firefly algorithm and pattern search hybridized for global optimization",

abstract = "Firefly optimization algorithm is one of the latest swarm intelligence based optimization algorithm. A new hybrid optimization algorithm, which combines pattern search with firefly algorithm, namely FAPS, is proposed for numerical global optimization. There are two alternative phases of the proposed algorithm: the global exploration phase realized by firefly algorithm and the exploitation phase completed by pattern search. The performance of the proposed FAPS algorithm was tested on a comprehensive set of benchmark functions. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and the performance of firefly algorithm is much improved by introducing a pattern search method.",

keywords = "firefly algorithm, global optimization, hybridization, pattern search",

author = "Mahdiyeh Eslami and Hussain Shareef and Mohammad Khajehzadeh",

year = "2013",

doi = "10.1007/978-3-642-39482-9_20",

language = "English",

isbn = "9783642394812",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "172--178",

booktitle = "Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings",

note = "9th International Conference on Intelligent Computing, ICIC 2013 ; Conference date: 28-07-2013 Through 31-07-2013",

}

TY - GEN

T1 - Firefly algorithm and pattern search hybridized for global optimization

AU - Eslami, Mahdiyeh

AU - Shareef, Hussain

AU - Khajehzadeh, Mohammad

PY - 2013

Y1 - 2013

N2 - Firefly optimization algorithm is one of the latest swarm intelligence based optimization algorithm. A new hybrid optimization algorithm, which combines pattern search with firefly algorithm, namely FAPS, is proposed for numerical global optimization. There are two alternative phases of the proposed algorithm: the global exploration phase realized by firefly algorithm and the exploitation phase completed by pattern search. The performance of the proposed FAPS algorithm was tested on a comprehensive set of benchmark functions. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and the performance of firefly algorithm is much improved by introducing a pattern search method.

AB - Firefly optimization algorithm is one of the latest swarm intelligence based optimization algorithm. A new hybrid optimization algorithm, which combines pattern search with firefly algorithm, namely FAPS, is proposed for numerical global optimization. There are two alternative phases of the proposed algorithm: the global exploration phase realized by firefly algorithm and the exploitation phase completed by pattern search. The performance of the proposed FAPS algorithm was tested on a comprehensive set of benchmark functions. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and the performance of firefly algorithm is much improved by introducing a pattern search method.

KW - firefly algorithm

KW - global optimization

KW - hybridization

KW - pattern search

UR - http://www.scopus.com/inward/record.url?scp=84883195529&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883195529&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-39482-9_20

DO - 10.1007/978-3-642-39482-9_20

M3 - Conference contribution

AN - SCOPUS:84883195529

SN - 9783642394812

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 172

EP - 178

BT - Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Proceedings

T2 - 9th International Conference on Intelligent Computing, ICIC 2013

Y2 - 28 July 2013 through 31 July 2013

ER -

Firefly algorithm and pattern search hybridized for global optimization

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this