Electric Eel Foraging Optimization (EEFO)

Version 1.0.2 (5.45 KB) by W. Zhao
Electric eel foraging optimization (EEFO) is a new optimization algorithm for solving global optimization problems.
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Updated 13 Nov 2023

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Electric eel foraging optimization (EEFO) is a new optimization approach for solving optimization problems. draws inspiration from the intelligent group foraging behaviors exhibited by electric eels in nature. The algorithm mathematically models four key foraging behaviors: interaction, resting, hunting, and migration, to provide both exploration and exploitation during the optimization process. In addition, an energy factor is developed to manage the transition from global search to local search and the balance between exploration and exploitation in the search space.
W. Zhao, L. Wang, Z. Zhang, H. Fan, J. Zhang, S. Mirjalili, N. Khodadadi, Q. Cao, Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications,Expert Systems With Applications, 238, (2024),122200, https://doi.org/10.1016/j.eswa.2023.122200.
The free download (before December 21, 2023) is available at:https://authors.elsevier.com/a/1i0al3PiGTPhjD

Cite As

W. Zhao (2024). Electric Eel Foraging Optimization (EEFO) (https://www.mathworks.com/matlabcentral/fileexchange/153461-electric-eel-foraging-optimization-eefo), MATLAB Central File Exchange. Retrieved .

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1.0.2

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1.0.0