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Published in:
A Novel Data Quality Metric for Minimality Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Firefly Algorithm with Proportional Adjustment Strategy

Authors : Jing Wang, Guiyuan Liu, William Wei Song

Published in: Data Quality and Trust in Big Data

Publisher: Springer International Publishing

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Abstract

Firefly algorithm is a new heuristic intelligent optimization algorithm and has excellent performance in many optimization problems. However, in the face of some multimodal and high-dimensional problems, the algorithm is easy to fall into the local optimum. In order to avoid this phenomenon, this paper proposed an improved firefly algorithm with proportional adjustment strategy for alpha and beta. Thirteen well-known benchmark functions are used to verify the performance of our proposed algorithm, the computational results show that our proposed algorithm is more efficient than many other FA algorithms.

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Metadata
Title
Firefly Algorithm with Proportional Adjustment Strategy
Authors
Jing Wang
Guiyuan Liu
William Wei Song
Copyright Year
2019
Book
Data Quality and Trust in Big Data

Print ISBN: 978-3-030-19142-9

Electronic ISBN: 978-3-030-19143-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-19143-6_6

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