| Summary: | In order to balance the diversity and intensity of biogeography-based optimization (BBO) algorithm in the search process, the idea of symbiotic organisms search (SOS) is introduced, and the asymbiotic biogeography based optimization (SBBO) algorithm is proposed. Firstly, the initial population is optimized by symbiotic operation to reduce the randomness of the initial population. On this basis, in order to improve the ability to explore the diversity of solutions in the migration process and avoid premature convergence, dynamic selection migration operator and mutually beneficial migration operator are proposed, and the functions of the two migration operators in different iterations are balanced by cosine adaptive factor. Furthermore, a symbiotic mutation operator is proposed to improve the ability of the algorithm to maintain population diversity. Simulation results show that the proposed algorithm can coordinate local search and global search, and improve the accuracy and efficiency.
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