DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies

DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies

Abstract The Fennec Fox algorithm (FFA) is a new meta-heuristic algorithm that is primarily inspired by the Fennec fox's ability to dig and escape from wild predators. Compared with other classical algorithms, FFA shows strong competitiveness. The “No free lunch” theorem shows that an algorithm...

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Bibliographic Details
Main Authors: Gang Hu, Keke Song, Xiuxiu Li, Yi Wang
Format: Article
Language:English
Published: SpringerOpen 2024-05-01
Series:Journal of Big Data
Subjects:
Fennec Fox algorithm
Sin chaotic mapping
Formula factor cosine adjustment
Cauchy operator mutation
Differential evolution mutation
Engineering design
Online Access:https://doi.org/10.1186/s40537-024-00917-6

Internet

https://doi.org/10.1186/s40537-024-00917-6

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