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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Combining local search into non-dominated sorting for multi-objective line-cell conversion problem
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Combining local search into non-dominated sorting for multi-objective line-cell conversion problem

机译：将局部搜索结合到非主导排序中以解决多目标线元转换问题

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摘要

Multi-objective decision-making is often used in line-cell conversion problem. It is the key issue of developing line-cell conversion successfully. In this article, a multi-objective optimisation model is proposed to investigate two line-cell conversion performances: the total throughput time and the total labour hours. It is proved that the model is a non-deterministic polynomial (NP)-hard problem and its Pareto-optimal front is non-convex. Owing to the properties of cell formation and cell loading in line-cell conversions, an approach of combining local search into non-dominated sorting genetic algorithm II is proposed to obtain better non-dominated solutions. Several numerical simulation experiments are performed to show the utility and performance of our approach.
机译：多目标决策通常用于行单元转换问题。这是成功开发线间转换的关键问题。在本文中，提出了一个多目标优化模型来研究两个行单元转换性能：总吞吐时间和总工时。证明了该模型是一个不确定的多项式（NP）难题，其Pareto最优前沿是非凸的。鉴于行细胞转换中细胞形成和细胞负载的特性，提出了一种将局部搜索结合到非支配排序遗传算法II中的方法，以获得更好的非支配解。进行了几个数值模拟实验，以显示我们方法的实用性和性能。

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