Abstract To improve the performance of biogeography-based optimization (BBO), a biogeography-based optimization algorithm with hybrid migration strategy(HMBBO) is proposed. In this algorithm, the emigrated individuals are dynamically selected to balance the selection pressure for the solution set searching. A migration mechanism based on hybrid migration strategy is applied to enhance search capability and avoid premature convergence. The chaotic mutation mechanism is applied to improve the convergence precision for individuals. The experimental results on benchmark functions show that the HMBBO algorithm effectively avoids the premature convergence and improves convergence property and robustness compared to BBO algorithm.
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2012, Vol. 25 
