Abstract
Biogeography-based optimization algorithm(BBO) is a new kind of optimization algorithm based on Biogeography. It mimics the migration strategy of animals to solve the problem of optimization. In this paper, the clone selection strategy is combined with biogeography for solving the problem of sensors selection of aircraft. It is compared with other classical nature inspired algorithms. The comparison results show that BBOCSA is an effective algorithm for optimization problem in practice. It provides a new method for this kind of problem. © 2011 Springer-Verlag.
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CITATION STYLE
Xu, L., Jiang, S., & Mo, H. (2011). The hybrid algorithm of biogeography based optimization and clone selection for sensors selection of aircraft. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6728 LNCS, pp. 400–407). https://doi.org/10.1007/978-3-642-21515-5_47
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