Abstract
Evolutionary Algorithms are representative as a research field in continuous development and a permanent source of new ideas. In order to minimize a function, some algorithms such as Genetic Algorithms, the Imperialist Competitive Algorithm and Evolutionary Hybrid Algorithms were investigated in this paper. Also, in order to accelerate the search of an optimal solution a new hybrid algorithm based on the Imperialist Competitive Algorithm is proposed. The tests showed that the proposed algorithm tends to reach an optimal solution faster than other algorithms.
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