Title :
Performance analysis of the Imperialist Competitive algorithm using benchmark functions
Author :
Florenzano Mollinetti, Marco Antonio ; Magalhaes Almeida, Jose Ney ; Lisboa Pereira, Rodrigo ; Teixeira, Otavio Noura
Author_Institution :
CESUPA, Lab. de Comput. Natural (LCN), Belém do Pará, Brazil
Abstract :
In this paper, in order to prove the effectiveness of the Imperialist Competitive Algorithm - a socio-political inspired algorithm-on finding the optimal solution for different kinds of minimization functions as well as different kinds of landscapes. The reliability and quality of solutions for mathematical minimization functions of the ICA is evaluated by seven distinct benchmark functions where each one displays different behaviors, and then the results of each test is compared with two other optimization techniques, the Particle Swarm Optimization (PSO) and the Differential Evolution (DE).
Keywords :
minimisation; ICA; benchmark functions; imperialist competitive algorithm; mathematical minimization functions; performance analysis; socio-political inspired algorithm; Algorithm design and analysis; Benchmark testing; Classification algorithms; Convergence; Optimization; Particle swarm optimization; Pattern recognition; benchmark functions; imperialist competitive algorithm; metaheuristics; minimization functions; optimization;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
Conference_Location :
Hanoi
Print_ISBN :
978-1-4799-3399-0
DOI :
10.1109/SOCPAR.2013.7054157
