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A fast branch, bound and remember algorithm for disassembly line balancing problem

机译:用于拆卸线平衡问题的快速分支,绑定和记忆算法

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In recent years, the interests of disassembly line have increased owing to economic reasons and the increase of environmental awareness. Effective line can provide many advantages in terms of economic aspect and it facilitates competition the companies with others. This study contributes to the relevant literature by a branch, bound and remember algorithm for disassembly line balancing problem with AND/OR precedence. The proposed exact solution method employs the memory-based dominance rule to eliminate the reduplicated sub-problems by storing all the searched sub-problems and to utilise cyclic best-first search strategy to obtain high-quality complete solutions fast. In this paper, minimising the number of stations is taken as the performance measure. The proposed methodology is tested on a set of 260 instances and compared with the mathematical model using CPLEX solver and five well-known metaheuristics. Computational results show that the proposed method is capable of obtaining the optimal solutions for all the tested instances with less than 0.1 seconds on average. Additionally, comparative study demonstrates that the proposed method is the state-of-the-art algorithm and outperforms the CPLEX solver and metaheuristics in terms of both solution quality and search speed aspects.
机译:近年来,由于经济原因和环境意识的增加,拆卸线的利益增加了。有效的线可以在经济方面提供许多优势,它有助于与他人的公司竞争。本研究通过分支机构,绑定和记忆算法与拆卸线路平衡问题的分支,绑定和记忆算法有助于和/或优先级。所提出的精确解决方法采用基于内存的主旨规则来通过存储所有搜索的子问题来消除重复的子问题,并利用循环最佳首先搜索策略快速获得高质量的完整解决方案。在本文中,最大限度地减少了代表的数量作为性能测量。所提出的方法在一组260实例上测试,并与使用CPLEX求解器和五种公知的核心学相​​比的数学模型进行比较。计算结果表明,该方法能够平均地获得少于0.1秒的所有测试实例的最佳解决方案。此外,比较研究表明,所提出的方法是最先进的算法,并且在解决方案质量和搜索速度方面方面优于CPLEX求解器和甲型学。

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