This is an example code of Firefly algorithm to solve optimization problem.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
It is convenient to explain the algorithm from the pseudo code. Considering the pseudo code of Firefly algorithm as given in Yang (2008)
Randomly generate n firefly populations
For k = 1: max_iterations
Initially, compute light intensity I (brightness) for each firefly
For i = 1: n
For j = 1:n (inner loop)
% update intensity for each firefly
if( < ), then move firefly i towards j
end
end
rank the fireflies and find the best global g (store the best solution for each iteration)
end
Cite As
Adisorn Owatsiriwong (2026). Firefly Algorithm: Part II (https://in.mathworks.com/matlabcentral/fileexchange/160078-firefly-algorithm-part-ii), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (210 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
