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首页> 外文期刊>Nae more, journal of marine sciences >The Use of Weighted Adjacency Matrix for Searching Optimal Ship Transportation Routes
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The Use of Weighted Adjacency Matrix for Searching Optimal Ship Transportation Routes

机译:加权邻接矩阵在最优船舶运输路线搜索中的应用

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This article provides a new approach to searching solutions of water transport optimization problems. It brings a new tool of the graph theory which is the Weighted Adjacency Matrix. This Weighted Adjacency Matrix is suitable for searching for the Minimum Spanning Tree (MST) of the graph. It describes the Weighted Adjacency Matrix as a new element, and shows how it could be used in cases where weighted edges of the graph are given. This creates a new procedure of searching the MST of the graph and completes previously known algorithms of searching for the MST. In the field of ship transportation it could be succesfully used for solutions of optimizing transportation routes where lowest transport costs are needed. Proposed Weighted Adjacency Matrix could be used in similar issues in the field of graph theory, where graphs with weighted edges are given. The procedure is shown in the given example.The paper discusses the application of such route optimization technique forthe maritime sector.
机译:本文提供了一种寻找水运优化问题解决方案的新方法。它带来了图论的新工具,即加权邻接矩阵。该加权邻接矩阵适用于搜索图形的最小生成树(MST)。它将加权邻接矩阵描述为一个新元素,并说明了如何在给出图的加权边的情况下使用它。这创建了搜索图形的MST的新过程,并完成了先前已知的搜索MST的算法。在船舶运输领域中,它可以成功地用于需要最低运输成本的优化运输路线的解决方案。拟议的加权邻接矩阵可用于图论领域的类似问题中,在图论中给出具有加权边的图。给出的例子说明了该过程。本文讨论了这种路线优化技术在海事部门中的应用。

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