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Blocks of Jobs for Solving Two-Machine Flow Shop Problem with Normal Distributed Processing Times

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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) (SOCO 2020)

Abstract

We consider strongly NP-hard problem of two-machine task scheduling with due dates and minimizing of the total weighted tardiness. Task execution times are random variables. We propose methods of intermediate review of solutions, the so-called ‘block properties’, which we use in the tabu search algorithm. From computational experiments carried out it follows that the use of blocks significantly speeds up calculations.

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Acknowledgments

This work was partially funded by the National Science Centre of Poland, grant OPUS no. 2017/25/B/ST7/02181 and a statutory subsidy 049U/0032/19.

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Correspondence to Wojciech Bożejko .

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Bożejko, W., Rajba, P., Wodecki, M. (2021). Blocks of Jobs for Solving Two-Machine Flow Shop Problem with Normal Distributed Processing Times. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_28

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