摘要

This paper proposes a hybrid artificial bee colony with biogeography based optimization, namely ABC-BBO, for the global numerical optimization problem. ABC-BBO combines the exploration of ABC with the exploitation of BBO effectively, and it can generate the promising candidate solutions. The proposed algorithm is tested on 13 benchmark functions. Numerical comparisons with different meta-heuristics demonstrate its effectiveness and efficiency.

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