Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions

Vesela  Vasileva; Kalin Penev

doi:10.1007/978-3-319-41438-6

Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions

Vesela Vasileva, Kalin Penev

Research output: Chapter in Book/Report/Published conference proceeding › Chapter › peer-review

Abstract

This article presents an investigation on two real-value methods such as Free Search (FS) and Particle Swarm Optimisation (PSO) applied to global optimisation numerical tests. The objective is to identify how to facilitate assessment of heuristic, evolutionary, adaptive and other optimisation and search algorithms. Particular aim is to assess: (1) probability for success of given method; (2) abilities of given method for entire search space coverage; (3) dependence on initialisation; (4) abilities of given method to escape from trapping in local sub-optima; (5) abilities of explored methods to resolve multidimensional (one hundred dimensions) global optimisation tasks; (6) performance on two and hundred dimensional tasks; (7) minimal number of objective function calculation for resolving hundred dimensional tasks with acceptable level of precision. Achieved experimental results are presented and analysed. Discussion on FS and PSO essential characteristics concludes the article.

Original language	English
Title of host publication	Recent Contributions in Intelligent Systems
Editors	Vassil Sgurev, Ronald Yager, Janusz Kacprzyk, Krassimir Atanassov
Place of Publication	Switzerland
Publisher	Springer International Publishing AG
Chapter	17
Pages	313-337
Number of pages	24
Volume	657
Edition	1
ISBN (Electronic)	978-3-319-41438-6
ISBN (Print)	978-3-319-41437-9, 978-3-319-82354-6
DOIs	https://doi.org/10.1007/978-3-319-41438-6
Publication status	Published - 2017

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer Nature Switzerland AG
ISSN (Print)	1860-949X

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10.1007/978-3-319-41438-6Licence: Unspecified

Cite this

Vasileva, V., & Penev, K. (2017). Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions. In V. Sgurev, R. Yager, J. Kacprzyk, & K. Atanassov (Eds.), Recent Contributions in Intelligent Systems (1 ed., Vol. 657, pp. 313-337). (Studies in Computational Intelligence). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-41438-6

Vasileva, Vesela ; Penev, Kalin. / Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions. Recent Contributions in Intelligent Systems. editor / Vassil Sgurev ; Ronald Yager ; Janusz Kacprzyk ; Krassimir Atanassov. Vol. 657 1. ed. Switzerland : Springer International Publishing AG, 2017. pp. 313-337 (Studies in Computational Intelligence).

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Vasileva, V & Penev, K 2017, Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions. in V Sgurev, R Yager, J Kacprzyk & K Atanassov (eds), Recent Contributions in Intelligent Systems. 1 edn, vol. 657, Studies in Computational Intelligence, Springer International Publishing AG, Switzerland, pp. 313-337. https://doi.org/10.1007/978-3-319-41438-6

Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions. / Vasileva, Vesela ; Penev, Kalin.
Recent Contributions in Intelligent Systems. ed. / Vassil Sgurev; Ronald Yager; Janusz Kacprzyk; Krassimir Atanassov. Vol. 657 1. ed. Switzerland: Springer International Publishing AG, 2017. p. 313-337 (Studies in Computational Intelligence).

Research output: Chapter in Book/Report/Published conference proceeding › Chapter › peer-review

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Vasileva V, Penev K. Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions. In Sgurev V, Yager R, Kacprzyk J, Atanassov K, editors, Recent Contributions in Intelligent Systems. 1 ed. Vol. 657. Switzerland: Springer International Publishing AG. 2017. p. 313-337. (Studies in Computational Intelligence). doi: 10.1007/978-3-319-41438-6

Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions

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Kalin Penev, Associate Professor

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Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions

Abstract

Publication series

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Kalin Penev, Associate Professor

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