| 基于多目标粒子群算法的泊位-岸桥分配研究 |
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| 引用本文： | 张红菊,乐美龙.基于多目标粒子群算法的泊位-岸桥分配研究[J].武汉理工大学学报,2012,34(2):59-64. |
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| 作者姓名： | 张红菊 乐美龙 |
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| 作者单位： | 上海海事大学物流研究中心,上海,200135 |
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| 基金项目： | 上海市自然科学基金创新行动计划(10190502500);上海海事大学启动基金;上海市科委工程中心项目(09DZ2250400)和上海市教委重点学科项目(J50604) |
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| 摘 要： | 为得出合理且符合实际生产状况的泊位-岸桥分配,建立了船舶在港时间和码头运营成本最小的多目标优化模型,并使用了多目标粒子群算法进行求解。通过多目标粒子群算法分别求解30、40、50、60、70艘船舶的优化模型,得到的可行解使时间和成本这两个目标达到最优平衡,并证明了模型和算法的有效性。试验结果表明,多目标优化方法与单目标而言,可以使码头得到更大的运营效益。
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| 关 键 词： | 泊位-岸桥分配 多目标模型 时间 成本 粒子群算法 |
Research on Container Berth-quay Crane Allocation Based on Multi-objective PSO |
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| ZHANG Hong-ju
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LE Mei-long.Research on Container Berth-quay Crane Allocation Based on Multi-objective PSO[J].Journal of Wuhan University of Technology,2012,34(2):59-64. |
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| Authors: | ZHANG Hong-ju LE Mei-long |
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| Affiliation: | (Logistics Research Center,Shanghai Maritime University,Shanghai 200135,China) |
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| Abstract: | For solving the Berth-Quay Crane Allocation Problem,the multi-objective model which aims to minimize the turn-around time of ship and the operational cost of quay was formulated.Meanwhile,a multi-objective Particle Swarm Optimization(PSO) is designed for solving that problem.Five instances with 30,40,50,60,70 ships respectively,are applied for testing the model and PSO,and the feasible solution makes the optimal trade-off between time and cost,and it also proves the effectiveness of model and PSO.The results of experiment indicate that the quay can get more operational benefit through the multi-objective method,compare with single-objective method. |
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| Keywords: | berth-quay crane allocation multi-objective model time cost PSO |
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