Abstract
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.
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Asadpour, A., Goemans, M.X., Madry, A., Oveis Gharan, S., Saberi, A.: An O(logn/loglogn)-approximation algorithm for the asymmetric traveling salesman problem. In: SODA, pp. 379–389 (2010)
Bläser, M.: A new approximation algorithm for the asymmetric TSP with triangle inequality. ACM Transactions on Algorithms 4(4) (2008)
Feige, U., Singh, M.: Improved approximation ratios for traveling salesperson tours and paths in directed graphs. In: Charikar, M., Jansen, K., Reingold, O., Rolim, J.D.P. (eds.) APPROX and RANDOM 2007. LNCS, vol. 4627, pp. 104–118. Springer, Heidelberg (2007)
Frieze, A.M., Galbiati, G., Maffioli, F.: On the worst-case performance of some algorithms for the asymmetric traveling salesman problem. Networks 12(1), 23–39 (1982)
Gilmore, P., Gomory, R.: Sequencing a one state-variable machine: A solvable case of the traveling salesman problem. Operations Research (12), 655–679 (1964)
Hall, N., Sriskandarajah, C.: A survey of machine scheduling problems with blocking and no-wait in process. Operations Research (44), 510–525 (1996)
Kaplan, H., Lewenstein, M., Shafrir, N., Sviridenko, M.: Approximation algorithms for asymmetric TSP by decomposing directed regular multigraphs. Journal of the ACM 52(4), 602–626 (2005)
Karpinski, M., Lampis, M., Schmied, R.: New inapproximability bounds for TSP. CoRR abs/1303.6437 (2013)
Lawler, E., Lenstra, J., Rinnooy Kan, A., Shmoys, D.: Sequencing and scheduling: Algorithms and complexity. In: Graves, S., Rinnooy Kan, A., Zipkin, P. (eds.) Handbooks in Operations Research and Management Science. Logistics of Production and Inventory, vol. 4, pp. 445–522. North-Holland, Amsterdam (1993)
Papadimitriou, C.H., Kanellakis, P.C.: Flowshop scheduling with limited temporary storage. Journal of the ACM 27(3), 533–549 (1980)
Piehler, J.: Ein Beitrag zum Reihenfolgeproblem. Unternehmensforschung (4), 138–142 (1960)
Röck, H.: The three-machine no-wait flow shop is NP-complete. Journal of the ACM 31(2), 336–345 (1984)
Röck, H., Schmidt, G.: Machine aggregation heuristics in shop-scheduling. Methods of Operations Research (45), 303–314 (1983)
Spieksma, F.C.R., Woeginger, G.J.: The no-wait flow-shop paradox. Oper. Res. Lett. 33(6), 603–608 (2005)
Sviridenko, M.: Makespan minimization in no-wait flow shops: A polynomial time approximation scheme. SIAM Journal of Discrete Mathematics 16(2), 313–322 (2003)
Williamson, D.P., Shmoys, D.B.: The Design of Approximation Algorithms. Cambridge University Press (2011)
Wismer, D.A.: Solution of the flow shop scheduling problem with no intermediate queues. Operations Research (20), 689–697 (1972)
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Mucha, M., Sviridenko, M. (2013). No-Wait Flowshop Scheduling Is as Hard as Asymmetric Traveling Salesman Problem. In: Fomin, F.V., Freivalds, R., Kwiatkowska, M., Peleg, D. (eds) Automata, Languages, and Programming. ICALP 2013. Lecture Notes in Computer Science, vol 7965. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39206-1_65
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DOI: https://doi.org/10.1007/978-3-642-39206-1_65
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