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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://www.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
General Information
- Version 2.6 (4.52 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
