Abstract
The bacterial foraging optimization (BFO) algorithm is a new complex, swarm-based optimization algorithm. The algorithm has shown to be successful in static environments; however there is little research available on analysis of its performance in dynamic environments. The aim of this article is to conduct an elaborate empirical analysis of BFO in a number of dynamic environments. Additionally, a modification to BFO is proposed to improve BFO’s performance in dynamic environments.
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Abbott, J., Engelbrecht, A.P. (2012). Performance of Bacterial Foraging Optimization in Dynamic Environments. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2012. Lecture Notes in Computer Science, vol 7461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32650-9_29
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DOI: https://doi.org/10.1007/978-3-642-32650-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32649-3
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