Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

Hatamlou, Abdolreza; Mirjalili, Seyed Mohammad; Mirjalili, Seyedali

doi:10.1007/s00521-015-1870-7

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Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

Author(s): Seyedali Mirjalili , Seyed Mohammad Mirjalili , Abdolreza Hatamlou

Publication date (Print): March 17 2015

Journal: Neural Computing and Applications

Publisher: Springer Nature

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GSA: A Gravitational Search Algorithm

Esmat Rashedi, Hossein Nezamabadi-pour, Saeid Saryazdi (2009)

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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquín Derrac, Salvador García-García, Daniel Molina … (2011)

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The Ant Lion Optimizer

Seyedali Mirjalili (2015)

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Journal

Title: Neural Computing and Applications

Abbreviated Title: Neural Comput & Applic

Publisher: Springer Nature

ISSN (Print): 0941-0643

ISSN (Electronic): 1433-3058

Publication date Created: February 2016

Publication date (Print): March 17 2015

Volume: 27

Issue: 2

Pages: 495-513

Article

DOI: 10.1007/s00521-015-1870-7

SO-VID: 7b03fff1-f5b3-4786-b02d-c5bec307177d

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http://www.springer.com/tdm

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Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

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International Journal of Automation & Digital Transformation

Most cited references 42

GSA: A Gravitational Search Algorithm

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

The Ant Lion Optimizer

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