BASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobs

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
A. A. Abdessemed, L. Mouss, K. Benaggoune
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引用次数: 0

Abstract

In this paper, we present a novel hybrid meta-heuristic by enhancing the Basic Bees Algorithm through the integration of a local search method namely Simulated Annealing and Variable Neighbourhood Search like algorithm. The resulted hybrid bees algorithm (BASA) is used to solve the Single Machine Scheduling Problem with Early/Tardy jobs, where the generated outcomes are compared against the Basic Bees Algorithm (BA), and against some stat-of-the-art meta-heuristics. Computational results reveal that our proposed framework outperforms the Basic Bees Algorithm, and demonstrates a competitive performance compared with some algorithms extracted from the literature.
BASA:一种改进的混合蜜蜂算法,用于具有早/晚作业的单机调度
在本文中,我们提出了一种新的混合元启发式算法,通过集成一种局部搜索方法,即模拟退火和类可变邻域搜索算法,增强了基本Bees算法。所得到的混合蜜蜂算法(BASA)用于解决具有早期/延迟作业的单机调度问题,其中将生成的结果与基本蜜蜂算法(BA)和一些现有技术的元启发式进行比较。计算结果表明,我们提出的框架优于基本Bees算法,并且与从文献中提取的一些算法相比,具有竞争力。
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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来源期刊
CiteScore
2.10
自引率
13.30%
发文量
18
审稿时长
20 weeks
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