A
Probabilistic Analysis of a

Simplified Biogeography-Based Optimization Algorithm

Dan
Simon

Biogeography is the study of the geographical distribution of biological organisms. The mindset of the engineer is that we can learn from nature. This motivates the application of biogeography to optimization problems. An introduction to biogeography-based optimization (BBO) can be found at http://academic.csuohio.edu/simond/bbo. Reference [1] below discusses a simplified BBO algorithm, and how probability-based analysis can be used to predict the behavior of the algorithm.

The software that was used to create the results in [1] can be
downloaded in a zip file. The software is written in m-files that can be run in
the MATLAB environment. The m-files are
contained in bbosimplified.zip.
If you download the zip file to your hard drive and then unzip the file, you
can reproduce the results in [1]. Maybe you can even modify the m-files
for your own research. When you unzip the file on your hard drive, look at **readme.txt** for more detailed
information.

*References*

D. Simon, “A Probabilistic Analysis of a Simplified
Biogeography-Based Optimization Algorithm,” *Evolutionary
Computation*, vol. 19, no. 2, pp. 167-188,
June 2011 - pdf, 545 KB

Department of Electrical and Computer Engineering

Last Revised: March 13, 2013