| 集装箱船多港bay 位排箱的优化方法 |
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| 引用本文： | 孙晓雅,林焰. 集装箱船多港bay 位排箱的优化方法[J]. 大连海事大学学报(自然科学版), 2011, 37(1): 75-79 |
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| 作者姓名： | 孙晓雅 林焰 |
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| 作者单位： | 大连理工大学船舶CAD工程中心;辽宁师范大学管理学院; |
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| 摘 要： | 在后续港装载状态未知情况下,针对始发港混装bay位的排箱问题提出不出现倒箱条件下,实现bay位重心位置和横倾力矩最优的多目标优化数学模型,并通过离散粒子群算法进行求解,给出粒子位置的矩阵表达形式,并通过交叉和局部搜索策略对粒子位置进行更新.该算法简便有效,收敛速度较快,可增加种群的多样性,有效抑制早熟出现.实例结果表明...
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| 关 键 词： | 集装箱船 多港 bay位排箱 离散粒子群算法(DPSO) 优化 |
Multi-port bay layout optimization method for container ships |
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| SUN Xiaoya,LIN Yan. Multi-port bay layout optimization method for container ships[J]. Journal of Dalian Maritime University, 2011, 37(1): 75-79 |
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| Authors: | SUN Xiaoya LIN Yan |
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| Affiliation: | SUN Xiaoya1,2,LIN Yan2(1.Ship CAD Engineering Center,Dalian University of Technology,Dalian 116024,China,2.Management College,Liaoning Normal University,Dalian 116029,China) |
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| Abstract: | The mathematical model with multi-objective was established to realize the optimal location of the center of gravity and minimum heeling moment of the bay under constraint of no container transposition when the conditions of the following ports were unknown.The model was solved by discrete particle swarm optimization(DPSO)algorithm,which gave the particle positions expression in matrix form.And cross strategy and local search technique were adopted to renew the particle positions.The algorithm is efficient ... |
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| Keywords: | container ship multi-port of destination bay layout discrete particle swarm optimization(DPSO)algorithm optimization |
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