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A method to solve 2D Facility Layout Problem with equipment inputs/outputs constraints using meta-heuristics algorithms

机译:使用Meta-HeuRistics算法解决设备输入/输出约束的2D设施布局问题的方法

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Dealing with rapidly evolving customer needs, Facility Layout Problem (FLP) is a crucial leverage in industries to control the performance. FLP looks for efficient physical arrangements of pieces of equipment within a given area. The novelty here is to take account of practical aspects, very often neglected such as inputs/outputs and orientation of machines, to model and to solve 2D layout problems. The suggested resolution method allows to compute realistic transportation distances; closer to real-world requirements. An improved and fine-tuned genetic algorithm integrated with A* algorithm is proposed to solve the mathematically defined model. The technique is illustrated through examples.
机译:处理迅速不断发展的客户需求,设施布局问题(FLP)是在控制性能方面的重要杠杆。 FLP在给定区域内寻找设备的有效物理布置。 这里的新颖性是考虑到实际方面,经常被忽视,例如机器的输入/输出和方向,以模型和解决2D布局问题。 建议的分辨率方法允许计算现实的运输距离; 更接近真实世界的要求。 提出了一种与*算法集成的改进和微调遗传算法,以解决数学上定义的模型。 该技术通过示例说明。

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