Large-scale global optimization via swarm intelligence

Shi Cheng; T. O. Ting; Xin She Yang

doi:10.1007/978-3-319-08985-0_10

Large-scale global optimization via swarm intelligence

Shi Cheng^*, T. O. Ting, Xin She Yang

^*Corresponding author for this work

Department of Electrical and Electronic Engineering

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

5 Citations (Scopus)

Abstract

Large-scale global optimization (LSGO) is a challenging task with many scientific and engineering applications. Complexity, nonlinearity and size of the problems are the key factors that pose significant challenges in solving such problems. Though the main aim of optimization is to obtain the global optimal solutions with the least computational costs, it is impractical in most applications. Thus, a practical approach is to search for suboptimal solutions and good solutions, which may not be easily achievable for large-scale problems. In this chapter, the challenges posed by LSGO are addressed, followed by some potential strategies to overcome these difficulties. We also discuss some challenging topics for further research.

Original language	English
Title of host publication	Solving Computationally Expensive Engineering Problems - Methods and Applications
Editors	Slawomir Koziel, Leifur Leifsson, Xin-She Yang
Publisher	Springer New York LLC
Pages	241-253
Number of pages	13
ISBN (Print)	9783319089843
DOIs	https://doi.org/10.1007/978-3-319-08985-0_10
Publication status	Published - 2014
Event	Conference on Solving Computationally Expensive Engineering Problems: Methods and Applications, 2008 - Reykjavik, Iceland Duration: 1 Jan 2008 → …

Publication series

Name	Springer Proceedings in Mathematics and Statistics
Volume	97
ISSN (Print)	2194-1009
ISSN (Electronic)	2194-1017

Conference

Conference	Conference on Solving Computationally Expensive Engineering Problems: Methods and Applications, 2008
Country/Territory	Iceland
City	Reykjavik
Period	1/01/08 → …

Keywords

Exploration/Exploitation
Large-Scale Global Optimization
Population diversity
Swarm intelligence optimization

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10.1007/978-3-319-08985-0_10

Cite this

Cheng, S., Ting, T. O., & Yang, X. S. (2014). Large-scale global optimization via swarm intelligence. In S. Koziel, L. Leifsson, & X.-S. Yang (Eds.), Solving Computationally Expensive Engineering Problems - Methods and Applications (pp. 241-253). (Springer Proceedings in Mathematics and Statistics; Vol. 97). Springer New York LLC. https://doi.org/10.1007/978-3-319-08985-0_10

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title = "Large-scale global optimization via swarm intelligence",

abstract = "Large-scale global optimization (LSGO) is a challenging task with many scientific and engineering applications. Complexity, nonlinearity and size of the problems are the key factors that pose significant challenges in solving such problems. Though the main aim of optimization is to obtain the global optimal solutions with the least computational costs, it is impractical in most applications. Thus, a practical approach is to search for suboptimal solutions and good solutions, which may not be easily achievable for large-scale problems. In this chapter, the challenges posed by LSGO are addressed, followed by some potential strategies to overcome these difficulties. We also discuss some challenging topics for further research.",

keywords = "Exploration/Exploitation, Large-Scale Global Optimization, Population diversity, Swarm intelligence optimization",

author = "Shi Cheng and Ting, {T. O.} and Yang, {Xin She}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; Conference on Solving Computationally Expensive Engineering Problems: Methods and Applications, 2008 ; Conference date: 01-01-2008",

year = "2014",

doi = "10.1007/978-3-319-08985-0_10",

language = "English",

isbn = "9783319089843",

series = "Springer Proceedings in Mathematics and Statistics",

publisher = "Springer New York LLC",

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Cheng, S, Ting, TO & Yang, XS 2014, Large-scale global optimization via swarm intelligence. in S Koziel, L Leifsson & X-S Yang (eds), Solving Computationally Expensive Engineering Problems - Methods and Applications. Springer Proceedings in Mathematics and Statistics, vol. 97, Springer New York LLC, pp. 241-253, Conference on Solving Computationally Expensive Engineering Problems: Methods and Applications, 2008, Reykjavik, Iceland, 1/01/08. https://doi.org/10.1007/978-3-319-08985-0_10

Large-scale global optimization via swarm intelligence. / Cheng, Shi; Ting, T. O.; Yang, Xin She.
Solving Computationally Expensive Engineering Problems - Methods and Applications. ed. / Slawomir Koziel; Leifur Leifsson; Xin-She Yang. Springer New York LLC, 2014. p. 241-253 (Springer Proceedings in Mathematics and Statistics; Vol. 97).

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

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Large-scale global optimization via swarm intelligence

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