In this Paper, A hybrid algorithm between Bee colony algorithm and flower pollination algorithm (ABCFP) for optimization problems is proposed. The proposed algorithm is tested using several standard benchmark functions. A comparative study of the results with those obtained using wellknown intelligence algorithms are used to validate and verify the efficiency of ABCFP. A global optimal solution was reached in the solution of all benchmark problems proving the capability of the new algorithm to escape from local optimal.
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