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2018 | OriginalPaper | Buchkapitel

High Dimensionality Characteristics and New Fuzzy Versatile Particle Swarm Optimization

verfasst von : Shikha Agarwal, Prabhat Ranjan

Erschienen in: Information and Communication Technology for Sustainable Development

Verlag: Springer Singapore

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Abstract

Technological developments have reshaped the scientific thinking, since observation from experiments and real world are massive. Each experiment is able to produce information about the huge number of variables (High dimensional). Unique characteristics of high dimensionality impose various challenges to the traditional learning methods. This paper presents problem produced by high dimensionality and proposes new fuzzy versatile binary PSO (FVBPSO) method. Experimental results show the curse of dimensionality and merits of proposed method on bench marking datasets.

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Metadaten
Titel
High Dimensionality Characteristics and New Fuzzy Versatile Particle Swarm Optimization
verfasst von
Shikha Agarwal
Prabhat Ranjan
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-3920-1_27

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