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Journal of Combinatorial Optimization

Erschienen in:

01.04.2016

A modified firefly algorithm based on light intensity difference

verfasst von: Bin Wang, Dong-Xu Li, Jian-Ping Jiang, Yi-Huan Liao

Erschienen in: Journal of Combinatorial Optimization | Ausgabe 3/2016

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Abstract

Firefly algorithm (FA) is a swarm-intelligence-based, meta-heuristic algorithm and has been widely applied since its establishment in 2009. In this paper, a modified FA based on light intensity difference (LFA) is proposed. The light intensity of a firefly is determined by the landscape of the objective function in FA. The modifications are established in consideration of the variation trend of light intensity differences. As the light intensity differences vary with movements of fireflies, the parameter settings could be adjusted pertinently and self-adaptively at any moment for different problems. The applications to numeric experiments show that, LFA is well adaptive and efficient for different problems, and can make a trade-off between global exploration and local exploitation so as to decrease the risk of premature convergence effectively.

Vorheriger Artikel Extended cuts

Nächster Artikel Cardinality constraints and systems of restricted representatives

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Titel: A modified firefly algorithm based on light intensity difference
verfasst von: Bin Wang
Dong-Xu Li
Jian-Ping Jiang
Yi-Huan Liao
Publikationsdatum: 01.04.2016
Verlag: Springer US
Erschienen in: Journal of Combinatorial Optimization / Ausgabe 3/2016
Print ISSN: 1382-6905
Elektronische ISSN: 1573-2886
DOI: https://doi.org/10.1007/s10878-014-9809-y

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