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Using Valid Inequalities and Different Grids in LP-Based Heuristic for Packing Circular Objects

机译:在基于LP的启发式算法中使用有效不等式和不同网格来包装圆形对象

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Using a regular grid to approximate a container, packing is reduced to assigning objects to the nodes of the grid subject to non-overlapping constraints. The packing problem is then stated as a large scale linear 0-1 optimization problem. A problem of packing unequal circles in a fixed size rectangular container is considered. The circle is considered as a set of points that are all the same distance (not necessary Euclidean) from a given point. Different shapes, such as ellipses, rhombuses, rectangles, octagons, etc. can be treated similarly by simply changing the definition of the norm used to define the distance. Valid inequalities are used to strengthening the LP-relaxation. An LP-based heuristic is proposed. Numerical results on packing circles and octagons are presented to demonstrate the efficiency of the proposed approach.
机译:使用常规网格近似容器,可以简化打包工作,将对象分配给受非重叠约束约束的网格节点。然后将打包问题表示为大规模线性0-1优化问题。考虑了在固定尺寸的矩形容器中包装不相等的圆的问题。圆被视为一组与给定点都具有相同距离(不一定是欧几里得)的点。通过简单地更改用于定义距离的标准的定义,可以类似地处理不同的形状,例如椭圆形,菱形,矩形,八边形等。有效不等式用于加强LP松弛。提出了一种基于LP的启发式算法。给出了关于填充圆和八边形的数值结果,以证明所提方法的有效性。

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