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首页> 外文期刊>European Journal of Operational Research >Using tree search bounds to enhance a genetic algorithm approach to two rectangle packing problems
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Using tree search bounds to enhance a genetic algorithm approach to two rectangle packing problems

机译:使用树搜索边界来增强遗传算法来解决两个矩形填充问题

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摘要

A popular approach when using a genetic algorithm in the solution of constrained problems is to exploit problem specific information by representing individuals as ordered lists. A construction heuristic is then often used as a decoder to produce a solution from each ordering. In such a situation further information is often available in the form of bounds on the partial solutions. This paper uses two two-dimensional packing problems to illustrate how this information can be incorporated into the genetic operators to improve the overall performance of the search. Our objective is to use the packing problems as a vehicle for investigating a series of modifications of the genetic algorithm approach based on information from bounds on partial solutions. (c) 2004 Elsevier B.V. All rights reserved.
机译:在约束问题的解决方案中使用遗传算法时,一种流行的方法是通过将个人表示为有序列表来利用特定于问题的信息。然后,通常将构造试探法用作解码器,以根据每个顺序生成解决方案。在这种情况下,经常会以部分解的边界形式获得更多信息。本文使用两个二维打包问题来说明如何将此信息整合到遗传算子中,以提高搜索的整体性能。我们的目标是使用打包问题作为工具,根据部分解边界上的信息来研究遗传算法方法的一系列修改。 (c)2004 Elsevier B.V.保留所有权利。

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