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2016 | OriginalPaper | Chapter

Venus Flytrap Optimization

Authors : R. Gowri, R. Rathipriya

Published in: Computational Intelligence, Cyber Security and Computational Models

Publisher: Springer Singapore

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Abstract

In this paper, we intend to devise a Novel Nature-inspired Meta-Heuristic algorithm named Venus Flytrap Optimization (VFO) suitable for solving various optimization problems. This algorithm is based on the rapid closure behavior of the Venus Flytrap (Dionaea Muscipula) leaves. This is due to the continuous stimulation of the trigger hairs by the fast movement of the prey. The empirical study of the proposed algorithm is done using various test functions.

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Metadata
Title
Venus Flytrap Optimization
Authors
R. Gowri
R. Rathipriya
Copyright Year
2016
Publisher
Springer Singapore
Book
Computational Intelligence, Cyber Security and Computational Models

Print ISBN: 978-981-10-0250-2

Electronic ISBN: 978-981-10-0251-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-0251-9_48

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