Optimizing Berth-quay Crane Allocation considering Economic Factors Using Chaotic Quantum SSA

With the regular development of global epidemic, port shipping supply is tight. The problem congestion, soaring freight rates, and hard-to-find container space has emerged. This paper proposes a new joint berth-quay crane allocation model, namely E-B&QC, by taking minimum time in ship, cost extra transportation distance for collector trucks land area port, waiting ships. Then, deficiencies sparrow search algorithm (SSA) are considered solving E-B&QC SSA improved based on three-dimensional Cat chaos mapping quantum computing theory. Chaotic Quantum Sparrow Search Algorithm (CQSSA) proposed, population individual coding rules formulated, also model established. Finally, berth-crane optimization method, namely, E-B&QC-CQSSA, proposed. Subsequently, feasibility superiority proposed solution tested according to actual data small river south medium-sized north. Simulation examples show that can develop different high-quality solutions ports under working conditions, more complex situation significant effect. CQSSA obtain better solution.