| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 767176 | Communications in Nonlinear Science and Numerical Simulation | 2012 | 8 Pages |
A novel chaotic improved imperialist competitive algorithm (CICA) is presented for global optimization. The ICA is a new meta-heuristic optimization developed based on a socio-politically motivated strategy and contains two main steps: the movement of the colonies and the imperialistic competition. Here different chaotic maps are utilized to improve the movement step of the algorithm. Seven different chaotic maps are investigated and the Logistic and Sinusoidal maps are found as the best choices. Comparing the new algorithm with the other ICA-based methods demonstrates the superiority of the CICA for the benchmark functions.
► A novel chaotic improved imperialist competitive algorithm (CICA) is presented for global optimization. ► Different chaotic maps are utilized to improve the movement step of the algorithm. ► The results demonstrate superiority of the CICA in comparison with the other ICA-based methods for the benchmark functions.
