The 1-D bin packing problem optimisation using bees algorithm

N. Hartono, A. H. Ismail, S. Zeybek, M. Caterino, K. Jiang, Murat Şahin, C. Natalia
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Abstract

The bin packing problem is a classic combinatorial optimisation problem that is widely used in various applications such as assembly line balancing, scheduling, and time-tabling. Metaheuristic algorithms can provide solutions to these problems faster than exact methods. Bees Algorithm, a metaheuristic algorithm inspired by the foraging activity of bees, is known for its performance in solving optimisation problems. To our best knowledge, this is the first use of the Bees Algorithm to solve a bin packing problem. In this paper, we use the basic Bees Algorithm to demonstrate near-optimal solutions and measure the accuracy of solutions to the one-dimensional bin packing problem. The algorithm procedure and parameter settings are set following the previous research. Benchmark datasets are used in the experiment, and accuracy is measured. The results indicate that the basic Bees Algorithm for bin packing problems and previous research on travelling salesman problems produce similar accuracy results.
用蜜蜂算法优化一维装箱问题
装箱问题是一个经典的组合优化问题,广泛应用于装配线平衡、调度和时间表等各种应用中。元启发式算法可以比精确方法更快地解决这些问题。蜜蜂算法是一种受蜜蜂觅食活动启发的元启发式算法,以其在解决优化问题方面的表现而闻名。据我们所知,这是第一次使用蜜蜂算法来解决装箱问题。在本文中,我们使用基本的蜜蜂算法来证明一维装箱问题的近最优解和测量解的精度。在前人研究的基础上,确定了算法流程和参数设置。实验采用基准数据集,并对精度进行了测量。结果表明,处理装箱问题的基本蜜蜂算法与前人研究的旅行推销员问题的准确率相近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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