Bee-inspired metaheuristics for global optimization: a performance comparison-Reference-Cited by-同舟云学术

Bee-inspired metaheuristics for global optimization: a performance comparison

Published:2021-05-20 Issue:7 Volume:54 Page:4967-4996
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Solgi Ryan^ORCID,Loáiciga Hugo A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-021-10015-1.pdf

Reference94 articles.

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3. Abualigah LMQ (2019) Feature selection and enhanced krill herd algorithm for text document clustering. Studies in computational intelligence. Springer, Berlin

4. Abualigah L (2020) Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications. Neural Comput Appl 32:12381–12401

5. Abualigah L, Diabat A (2020) A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Clust Comput. https://doi.org/10.1007/s10586-020-03075-5

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