首页> 外文会议>Proceedings of the IASTED international conferences on informatics 2010 >IMPLEMENTATION OF A MULTITHREADED BRANCH AND BOUND ALGORITHM FOR PERMUTATION FLOWSHOP PROBLEMS
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IMPLEMENTATION OF A MULTITHREADED BRANCH AND BOUND ALGORITHM FOR PERMUTATION FLOWSHOP PROBLEMS

机译:求解渗流问题的多元分支界算法的实现。

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The general m-machine permutation flowshop problemrnwith the total flow-time objective is known to be NP-hardrnfor m ≥ 2. The only practical method for finding optimalrnsolutions has been branch and-bound algorithms. Consideringrnthe lengthy process in the search for an optimalrnschedule, we focus on using multiple threads for solvingrnpermutation flowshop problems on shared-memory multicorernplatforms. Our approach is based on a Master/Workerrnmodel and depth-first/best-first hybrid strategies. The experimentalrnresults show that the proposed method exhibitsrnimproved performance compared with the existing depthfirstrnparallel algorithm.
机译:具有总流动时间目标的一般m机置换流水车间问题已知为m≥2的NP-hardrn。寻找最优解的唯一实用方法是分支定界算法。考虑到寻找最优时间表的漫长过程,我们集中于使用多线程来解决共享内存多核平台上的置换流程问题。我们的方法基于Master / Workerrn模型和深度优先/最佳优先混合策略。实验结果表明,与现有的深度优先并行算法相比,该方法具有更好的性能。

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