• 根据汽车内饰行业需求,皮制品加工的优化排样问题进行了研究

    This paper presents an effective nesting method for leather manufacturing, such as automobile interior decoration, etc.

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  • 因此,开展二维矩形优化排样问题研究具有重要的理论意义工程应用价值

    Therefore, research on the problem of two-dimensional optimal layout for rectangular parts is very important in theory and applications.

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  • 企业应用实例表明方法求解分段单一矩形优化排样问题一个较为有效的方法。

    Enterprise applications show that this method is an effective solution to the problem of single size rectangles packing.

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  • 板材排样优化核心问题规划零件板型原材料上最佳下料组合每个零件在板材上的最布局方案

    The kernel of this problem is to programming the best nesting combination and the best composition scheme of each part on the blank sheet.

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  • 多边形顶点算法排样优化问题一种算法

    A polygon vertex algorithm is a new optimizing method of blanking layout.

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  • 对下料件问题进行了深入分析提出一种互补排样优化算法

    This paper puts forward an optimized layout algorithm of complementary parts based on thoroughly analyzing the layout problem of blanking parts.

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  • 提出一种粒子算法低压电器裁件排样优化问题的求解方法。

    A particle swarm optimization algorithm for low voltage apparatus blanking part layout optimization was presented.

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  • 针对矩形排样优化问题分析传统近似算法主要缺陷基础上,提出一种新的排样算法——贪婪算法。

    To resolve the rectangular cutting stock problem, this paper proposes a new greedy algorithm, based on analyzing the main disadvantage of the traditional approximate algorithm.

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  • 主要研究裁工件优化算法实现问题

    Polygon vertexes algorithm and realization method is studied for blanking part optimal layout.

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  • 提出一种基于离散粒子优化算法求解矩形问题的方法。

    A discrete particle swarm algorithm for the rectangular strip packing problem is presented.

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  • 对“一刀切”矩形件样问题提出一种启发式递归免疫克隆算法相结合混合优化方法。

    An optimal task scheduling model and an algorithm were brought forward, which combined the advantages of immune clonal algorithm and simulated annealing.

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  • 货物摆放问题不同于传统样问题,不仅要优化平面布局,还必须兼顾货物的运出

    The problem how to put large goods into the storage is different from packing problem because the former one must take transit into account.

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  • 货物摆放问题不同于传统样问题,不仅要优化平面布局,还必须兼顾货物的运出

    The problem how to put large goods into the storage is different from packing problem because the former one must take transit into account.

    youdao

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