This paper applies the imperialist competitive algorithm (ICA) to benchmark mathematical functions with the original method to analyze and perform a study of the variation of the results obtained with the ICA algorithm as we vary the parameters manually for 4 mathematical functions. The results demonstrate the efficiency of the algorithm to optimization problems and give us the pattern for future work in dynamically adapting these parameters.
CITATION STYLE
Bernal, E., Castillo, O., & Soria, J. (2015). Imperialist competitive algorithm applied to the optimization of mathematical functions: A parameter variation study. Studies in Computational Intelligence, 601, 219–232. https://doi.org/10.1007/978-3-319-17747-2_18
Mendeley helps you to discover research relevant for your work.