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Applying Shuffled Frog Leaping Algorithm and Bottom Left Fill Algorithm in Rectangular Packing Problem

机译:在矩形包装问题中应用洗牌青蛙跳跃算法和底左填充算法

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Modern industry has been applying various optimization methods in solving problems and increasing productivity. The bin packing problem is one of the well-known problems in many industries, such as, glass manufacturing industry, paper packaging industry and garment industry that commonly require optimization techniques to improve the productivity. This paper introduces the use of the shuffled frog leaping algorithm (SFLA), a meta-heuristic approach for optimization, combined with the bottom left fill algorithm (BLF) as an approach for optimizing the arrangement of the 2D shapes in limited space. The objective is to arrange the set of rectangular box items in a given 2D space as efficiently as possible in order to minimize the waste from the process. The algorithm performance in converging to the optimal solution is presented. The proposed approach could be applied to various related manufacturing problems.
机译:现代行业一直在解决问题和提高生产力方面的各种优化方法。垃圾箱问题是许多行业中的众所周知的问题之一,例如玻璃制造业,纸包装工业和服装行业,通常需要优化技术来提高生产力。本文介绍了随机播放的青蛙跳跃算法(SFLA),元素型方法进行了优化,结合了底部左填充算法(BLF)作为优化有限空间中的2D形状布置的方法。目的是尽可能有效地将一组矩形盒项目排列在给定的2D空间中,以便最小化从过程中的废物。介绍了汇聚到最佳解决方案的算法性能。该方法可以应用于各种相关的制造问题。

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