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Application of artificial immune system algorithm for simultaneous minimisation of multiple objectives in single row facility layout problems

机译:人工免疫系统算法在单行设施布局问题中同时最小化多目标的同时最小化

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摘要

In this paper, an artificial immune system (AIS) algorithm is proposed to solve single row facility layout problem (SRFLP) for obtaining a best layout design of machines, which simultaneously minimises the multiple objectives. The multi-product environment with multiple objectives is considered in this work and it is a non-polynomial hard problem too. Total number of machines in the layout, total flow distance of products, total length of the flow line and total material handling cost are considered as objectives. Four problems are taken from Lenin et al. (2018) and four problems are randomly generated to obtain the best layout using AIS. The reduction in objective values is good by the proposed AIS algorithm compared with Lenin et al. (2018). In addition, the computational time for all the eight problems by the proposed AIS method is less compared with Lenin et al. (2018).
机译:在本文中,提出了一种人工免疫系统(AIS)算法来解决单行设施布局问题(SRFLP),以获得最佳的机器布局设计,其同时最小化多个目标。在这项工作中考虑了具有多个目标的多产品环境,也是一个非多项式难题。布局中的机器总数,产品的总流量距离,流量总长度和总材料处理成本被视为目标。从列宁等人采取了四个问题。 (2018)和四个问题是随机生成的,以获得使用AIS获得最佳布局。与Lenin等人相比,所提出的AIS算法,客观值的降低是良好的。 (2018)。此外,与Lenin等人相比,所提出的AIS方法的所有八个问题的计算时间较少。 (2018)。

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