An Improved Flower Pollination Algorithm for Global and Local Optimization

An Improved Flower Pollination Algorithm for Global and Local Optimization

Meta-heuristic algorithms have emerged as a powerful optimization tool for handling non-smooth complex optimization problems and also to address engineering and medical issues. However, the traditional methods face difficulty in tackling the multimodal non-linear optimization problems within the vas...

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Bibliographic Details
Main Authors: M. Iqbal Kamboh, Nazri Bin Mohd Nawi, Azizul Azhar Ramli, Fanni Sukma
Format: Article
Language:English
Published: Politeknik Negeri Padang 2021-12-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
dynamic switch probability
meta-heuristic
benchmark function
multimodal
exploitation
exploration.
Online Access:https://joiv.org/index.php/joiv/article/view/738

Internet

https://joiv.org/index.php/joiv/article/view/738

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