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, ďA Probabilistic Analysis of a Simplified Biogeography-Based Optimization Algorithm,Ē Evolutionary Computation, vol. 19, no. 2, pp. 167-188, June 2011 - pdf, 545 KB


Professor Simonís Home Page

Department of Electrical and Computer Engineering

Cleveland State University


Last Revised: March 13, 2013