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Meta Heuristic Approaches for Circular Open Dimension Problem

机译:圆形开放尺寸问题的元启发式方法

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This paper discusses the circular open dimension problem (CODP), where set of circles of different radii has to be packed into a rectangular strip of predetermined width and variable length. The circle packing problem is one of the variant of cutting and packing problems. We propose four different nature inspired Meta heuristic algorithms for solving this problem. These algorithms are proved to be the best in finding local solutions. The algorithms are based on food foraging process and breeding behavior of some biological species such as bat, bee, firefly and cuckoo. Circle packing problem is one of the NP hard problems. It is very difficult to solve NP hard problems exactly, so the proposed approaches tries to give approximate solution within the stipulated time. The standard benchmark instances are used for comparison, and it is proved that firefly is giving the best solution.
机译:本文讨论了圆形开放尺寸问题(CODP),其中不同半径的圆圈必须填充到预定宽度和可变长度的矩形条带中。圆包装问题是切割和包装问题的变体之一。我们提出了四种不同的自然灵感的荟萃启发式算法来解决这个问题。证明这些算法是找到本地解决方案的最佳状态。该算法基于食物觅食过程和一些生物物种的育种行为,如蝙蝠,蜜蜂,萤火虫和杜鹃。圈包装问题是NP难题之一。确切地解决NP难题是非常困难的,因此提出的方法试图在规定的时间内提供近似解。标准基准实例用于比较,并证明萤火虫正在提供最佳解决方案。

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