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In this paper, an efficient method based on equilibrium optimizer (EO) is proposed for MQBAP. The dynamic multi-swarm strategy (DMS) is proposed to improve rapid decline problem in population diversity during the iterative process of EO, which is subsequently applied to MQBAP. In this paper, a certain improvement is also made on the original model of MQBAP by proposing an alternate quay selection mechanism, which aims to make the MQBAP model more complete. To verify the effectiveness of the proposed algorithm on MQBAP, this paper uses six test cases and seven comparative algorithms to verify it comprehensively from total service cost, berthing time, and berthing location. 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