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Scheduling two-machine no-wait open shops to minimize makespan

机译:安排两台机器的无等待开店以最大程度地缩短工期

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This paper examines the problem of scheduling two-machine no-wait open shops to minimize makespan. The problem is known to be strongly NP-hard. An exact algorithm, based on a branch-and-bound scheme, is developed to optimally solve medium-size problems. A number of dominance rules are proposed to improve the search efficiency of the branch-and-bound algorithm. An efficient two-phase heuristic algorithm is presented for solving large-size problems. Computational results show that the branch-and-bound algorithm can solve problems with up to 100 jobs within a reasonable amount of time. For large-size problems, the solution obtained by the heuristic algorithm has an average percentage deviation of 0.24% from a lower bound value.
机译:本文研究了安排两台机器的无等待开店以最大程度地缩短工期的问题。已知该问题是严重的NP难题。开发了一种基于分支定界方案的精确算法,以最佳地解决中等规模的问题。提出了许多支配性规则,以提高分支定界算法的搜索效率。提出了一种有效的两阶段启发式算法来解决大型问题。计算结果表明,分支定界算法可以在合理的时间内解决多达100个作业的问题。对于大型问题,通过启发式算法获得的解决方案与下限的平均百分比偏差为0.24%。

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