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首页> 外文期刊>Annals of Operations Research >To lay out or not to lay out?
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To lay out or not to lay out?

机译:布置还是不布置?

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摘要

The Quadratic Assignment Problem (QAP) is known as one of the most difficult problems within combinatorial optimization. It is used to model many practical problems including different layout problems. The main topic of this paper is to provide methods to check whether a particular instance of the QAP is a layout problem. An instance is a layout problem if the distances of the objects can be reconstructed on the plane and/or in the 3-dimensional space. A new mixed integer programming model is suggested for the case if the distances of the objects are supposed to be rectilinear distances. If the distances are Euclidean distances then the use of the well-known Multi-Dimensional Scaling (MDS) method of statistics is suggested for reconstruction purposes. The well-known difficulty of QAP makes it a popular and suitable experimental field for many algorithmic ideas including artificial intelligence methods. These types of results are published sometimes as layout problems. The methods of reconstruction can be used to decide whether the topic of a paper is layout or only general QAP. The issue what the OR community should expect from AI based algorithms, is also addressed.
机译:二次分配问题(QAP)是组合优化中最困难的问题之一。它用于建模许多实际问题,包括不同的布局问题。本文的主要主题是提供检查QAP的特定实例是否为布局问题的方法。如果可以在平面上和/或在3维空间中重建对象的距离,则实例就是布局问题。如果对象的距离假定为直线距离,则建议使用新的混合整数规划模型。如果距离是欧几里得距离,则出于重建目的,建议使用众所周知的多维标度(MDS)统计方法。 QAP的众所周知的困难使其成为许多算法思想(包括人工智能方法)的流行且合适的实验领域。这些类型的结果有时会作为布局问题发布。重构方法可用于确定论文的主题是版面设计还是仅一般QAP。还解决了OR社区应该对基于AI的算法期望的问题。

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  • 来源
    《Annals of Operations Research》 |2011年第11期|p.183-192|共10页
  • 作者单位

    Dept. of Industrial Engineering, Eastern Mediterranean University, Famagusta, Mersin 10, Turkey;

    Dept. of Industrial Engineering, Eastern Mediterranean University, Famagusta, Mersin 10, Turkey;

    Karoli Gaspar University, Budapest, Hungary;

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