Flying Foxes Optimization (Fuzzy self-tuning optimizer)

Version 2.6 (4.52 KB) by Konstantinos Zervoudakis
Fuzzy self-tuning Flying Foxes Optimization for global optimization
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Updated 31 Oct 2024

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This simplified Matlab demo code shows how to use the new Fuzzy self-tuning Flying Foxes Optimization to solve global continuous optimization problems.
Researchers are allowed to use this code in their research projects, as long as they cite as:
Zervoudakis, K., Tsafarakis, S. A global optimizer inspired from the survival strategies of flying foxes. Engineering with Computers (2022). https://doi.org/10.1007/s00366-021-01554-w
For more information: https://sites.google.com/view/kzervoudakis/research/metaheuristics/flying-fox-optimizer

Cite As

Konstantinos Zervoudakis (2026). Flying Foxes Optimization (Fuzzy self-tuning optimizer) (https://nl.mathworks.com/matlabcentral/fileexchange/104810-flying-foxes-optimization-fuzzy-self-tuning-optimizer), MATLAB Central File Exchange. Retrieved .

Zervoudakis, K., Tsafarakis, S. A global optimizer inspired from the survival strategies of flying foxes. Engineering with Computers (2022). https://doi.org/10.1007/s00366-021-01554-w

Zervoudakis, K., and Tsafarakis, S., (2022), “Flying Foxes Optimization Algorithm - Matlab Code”, Mendeley Data, V1, doi: 10.17632/zw5dsdszh4.1

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
2.6

Update
2.5

Update
2.4

Site added
2.3

Bug fixed
2.2

Details
2.1

Position limits fixed
2.0.2

Mendeley citation added
2.0.1

Update Notes
2.0.0

Bug fixed
1.0.0