Document Type
Article
Publication Date
2011
Publication Title
Applied Soft Computing
Abstract
We derive a dynamic system model for biogeography-based optimization (BBO) that is asymptotically exact as the population size approaches infinity. The states of the dynamic system are equal to the proportion of each individual in the population; therefore, the dimension of the dynamic system is equal to the search space cardinality of the optimization problem. The dynamic system model allows us to derive the proportion of each individual in the population for a given optimization problem using theory rather than simulation. The results of the dynamic system model are more precise than simulation, especially for individuals that are very unlikely to occur in the population. Since BBO is a generalization of a certain type of genetic algorithm with global uniform recombination (GAGUR), an additional contribution of our work is a dynamic system model for GAGUR. We verify our dynamic system models with simulation results. We also use the models to compare BBO, GAGUR, and a GA with single-point crossover (GASP) for some simple problems. We see that with small mutation rates, as are typically used in real-world problems, BBO generally results in better optimization results than GAs for the problems that we investigate.
Repository Citation
Simon, Daniel J., "A Dynamic System Model of Biogeography-Based Optimization" (2011). Electrical and Computer Engineering Faculty Publications. 140.
https://engagedscholarship.csuohio.edu/enece_facpub/140
Original Citation
Dan Simon. (2011). A dynamic system model of biogeography-based optimization. Applied Soft Computing, 11(8), 5652-5661, doi: 10.1016/j.asoc.2011.03.028.
DOI
10.1016/j.asoc.2011.03.028.
Version
Postprint
Publisher's Statement
NOTICE: this is the author’s version of a work that was accepted for publication in Applied Soft Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Soft Computing, 11, 8, (01-01-2011); 10.1016/j.asoc.2011.03.028.
Volume
11
Issue
8
