A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm

Junliang Lu; Wei Hu; Yonghao Wang; Lin Li; Peng Ke; Kai Zhang

doi:10.1007/978-3-319-52015-5_3

A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm

Junliang Lu
, Wei Hu^*
, Yonghao Wang
, Lin Li
, Peng Ke
, Kai Zhang

^*Corresponding author for this work

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

4 Citations (SciVal)

Original language	English
Title of host publication	Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings
Editors	Meikang Qiu
Publisher	Springer Verlag
Pages	22-31
Number of pages	10
ISBN (Print)	9783319520148
DOIs	https://doi.org/10.1007/978-3-319-52015-5_3
Publication status	Published (VoR) - 2017
Event	1st International Conference on Smart Computing and Communication, SmartCom 2016 - Shenzhen, China Duration: 17 Dec 2016 → 19 Dec 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10135 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Smart Computing and Communication, SmartCom 2016
Country/Territory	China
City	Shenzhen
Period	17/12/16 → 19/12/16

Keywords

Ant colony optimization
Optimal solution
Particle swarm optimization

Access to Document

10.1007/978-3-319-52015-5_3

Cite this

Lu, J., Hu, W., Wang, Y., Li, L., Ke, P., & Zhang, K. (2017). A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm. In M. Qiu (Ed.), Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings (pp. 22-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10135 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-52015-5_3

Lu, Junliang ; Hu, Wei ; Wang, Yonghao et al. / A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm. Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings. editor / Meikang Qiu. Springer Verlag, 2017. pp. 22-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3bd3d3504cf348e58d47d9187b8e32c1,

title = "A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm",

keywords = "Ant colony optimization, Optimal solution, Particle swarm optimization",

author = "Junliang Lu and Wei Hu and Yonghao Wang and Lin Li and Peng Ke and Kai Zhang",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st International Conference on Smart Computing and Communication, SmartCom 2016 ; Conference date: 17-12-2016 Through 19-12-2016",

year = "2017",

doi = "10.1007/978-3-319-52015-5\_3",

language = "English",

isbn = "9783319520148",

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

publisher = "Springer Verlag",

pages = "22--31",

editor = "Meikang Qiu",

booktitle = "Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings",

}

Lu, J, Hu, W, Wang, Y, Li, L, Ke, P & Zhang, K 2017, A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm. in M Qiu (ed.), Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10135 LNCS, Springer Verlag, pp. 22-31, 1st International Conference on Smart Computing and Communication, SmartCom 2016, Shenzhen, China, 17/12/16. https://doi.org/10.1007/978-3-319-52015-5_3

A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm. / Lu, Junliang; Hu, Wei; Wang, Yonghao et al.
Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings. ed. / Meikang Qiu. Springer Verlag, 2017. p. 22-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10135 LNCS).

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

TY - GEN

T1 - A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm

AU - Lu, Junliang

AU - Hu, Wei

AU - Wang, Yonghao

AU - Li, Lin

AU - Ke, Peng

AU - Zhang, Kai

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

KW - Ant colony optimization

KW - Optimal solution

KW - Particle swarm optimization

UR - https://www.scopus.com/pages/publications/85010639767

UR - https://www.scopus.com/pages/publications/85010639767#tab=citedBy

U2 - 10.1007/978-3-319-52015-5_3

DO - 10.1007/978-3-319-52015-5_3

M3 - Conference contribution

AN - SCOPUS:85010639767

SN - 9783319520148

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

SP - 22

EP - 31

BT - Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings

A2 - Qiu, Meikang

PB - Springer Verlag

T2 - 1st International Conference on Smart Computing and Communication, SmartCom 2016

Y2 - 17 December 2016 through 19 December 2016

ER -

Lu J, Hu W, Wang Y, Li L, Ke P, Zhang K. A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm. In Qiu M, editor, Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings. Springer Verlag. 2017. p. 22-31. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-52015-5_3

A hybrid algorithm based on particle swarm optimization and ant colony optimization algorithm

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Keywords

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