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No-Wait Flowshop Scheduling Is as Hard as Asymmetric Traveling Salesman Problem

机译:不等式的流水作业调度与非对称旅行商问题一样困难

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In this paper we study the classical no-wait flowshop scheduling problem with makespan objective (F|no- wait|C_(max) in the standard three-field notation). This problem is well-known to be a special case of the asymmetric traveling salesman problem (ATSP) and as such has an approximation algorithm with logarithmic performance guarantee. In this work we show a reverse connection, we show that any polynomial time α-approximation algorithm for the no-wait flowshop scheduling problem with makespan objective implies the existence of a polynomial-time α(1 + ε)-approximation algorithm for the ATSP, for any ε > 0. This in turn implies that all non-approximability results for the ATSP (current or future) will carry over to its special case. In particular, it follows that no-wait flowshop problem is APX-hard, which is the first non-approximability result for this problem.
机译:在本文中,我们研究了具有制造期目标(标准三场表示法中的F | no-wait | C_(max))的经典No-wait Flowshop调度问题。众所周知,该问题是不对称旅行商问题(ATSP)的特例,因此具有具有对数性能保证的近似算法。在这项工作中,我们显示了一个反向连接,我们表明具有makepan目标的无等待flowshop调度问题的任何多项式时间α逼近算法都暗示着ATSP的多项式时间α(1 +ε)逼近算法的存在,对于任何ε>0。这反过来意味着,ATSP(当前或将来)的所有不可逼近结果都将延续到其特殊情况。特别地,随之而来的是,无等待流水车间问题是APX难题,这是该问题的第一个不可近似性结果。

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