Swarm intelligent algorithms have the ability to quickly find optimal solutions to problems, but they suffer from an imbalance between global exploration and local exploitation. The dung beetle optimization (DBO) algorithm was newly developed in 2022 and has excellent comprehensive performance; however, it still suffers from this problem. In this study a new multi-strategy improvement (LCTDBO) is proposed to balance the exploration and exploitation capabilities of the DBO algorithm to avoid falling into the local optimal solution.
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