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BDA: Binary Dragonfly Algorithm

version 1.0.0.0 (370 KB) by Seyedali Mirjalili
The binary version of the Dragonfly Algorithm (DA) for solving binary optimization problems

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Updated 22 May 2018

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This is the binary version of the recently proposed DA algorithm. The main inspiration of the DA algorithm originates from the static and dynamic swarming behaviours of dragonflies in nature. Two essential phases of optimization, exploration and exploitation, are designed by modelling the social interaction of dragonflies in navigating, searching for foods, and avoiding enemies when swarming dynamically or statistically.
This is the source codes of the paper:
Seyedali Mirjalili, "Dragonfly Algorithm: A New Meta-heuristic Optimization Technique for Solving Single-objective, Discrete, and Multi-objective Problems " , Neural Computing and Applications, in press, 2015, DOI: http://dx.doi.org/10.1007/s00521-015-1920-1
Link: http://link.springer.com/article/10.1007%2Fs00521-015-1920-1

If you have no access to the paper, please drop me an email at ali.mirjalili@gmail.com and I will send you the paper.

More information can be found in: http://www.alimirjalili.com/DA.html

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Cite As

Seyedali Mirjalili (2021). BDA: Binary Dragonfly Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/51032-bda-binary-dragonfly-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
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