Chaos theory and meta-heuristics

10 chaotic maps that can be integrated to any meta-heuristics
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Updated 22 May 2018

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You can simply use any of these chaotic maps when you need a random number in [0 1] in your meta-heuristic. The maps are:
Chebyshev map
Circle map
Gauss/mouse map
Iterative map
Logistic map
Piecewise map
Sine map
Singer map
Sinusoidal map
Tent map
Details can be found in the following reference:
S. Saremi, S. Mirjalili, A. Lewis, Biogeography-based optimisation with chaos, Neural Computing and Applications, In press, 2014, Springer,

You can download the paper here: http://dx.doi.org/10.1007/s00521-014-1597-x

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Cite As

Seyedali Mirjalili (2024). Chaos theory and meta-heuristics (https://www.mathworks.com/matlabcentral/fileexchange/47215-chaos-theory-and-meta-heuristics), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: Ulmann-Victor_Attractor

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Version Published Release Notes
1.1.0.0

Typo fixed
Just the image was upadted.

1.0.0.0