Tabu search for minimizing total tardiness in a job shop
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Cited by:
- Mariano Frutos & Ana Olivera & Fernando Tohmé, 2010. "A memetic algorithm based on a NSGAII scheme for the flexible job-shop scheduling problem," Annals of Operations Research, Springer, vol. 181(1), pages 745-765, December.
- Bierwirth, C. & Kuhpfahl, J., 2017. "Extended GRASP for the job shop scheduling problem with total weighted tardiness objective," European Journal of Operational Research, Elsevier, vol. 261(3), pages 835-848.
- Li, Jun-qing & Pan, Quan-ke, 2013. "Chemical-reaction optimization for solving fuzzy job-shop scheduling problem with flexible maintenance activities," International Journal of Production Economics, Elsevier, vol. 145(1), pages 4-17.
- P Corry & E Kozan, 2004. "Job scheduling with technical constraints," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 160-169, February.
- Ronconi, Débora P. & Henriques, Luís R.S., 2009. "Some heuristic algorithms for total tardiness minimization in a flowshop with blocking," Omega, Elsevier, vol. 37(2), pages 272-281, April.
- Hamed Piroozfard & Kuan Yew Wong & Adnan Hassan, 2016. "A Hybrid Genetic Algorithm with a Knowledge-Based Operator for Solving the Job Shop Scheduling Problems," Journal of Optimization, Hindawi, vol. 2016, pages 1-13, April.
- Hsu, Chih-Ming, 2004. "An integrated approach to enhance the optical performance of couplers based on neural networks, desirability functions and tabu search," International Journal of Production Economics, Elsevier, vol. 92(3), pages 241-254, December.
- Pannee Suanpang & Pitchaya Jamjuntr & Kittisak Jermsittiparsert & Phuripoj Kaewyong, 2022. "Tourism Service Scheduling in Smart City Based on Hybrid Genetic Algorithm Simulated Annealing Algorithm," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
- Mati, Yazid & Dauzère-Pérès, Stèphane & Lahlou, Chams, 2011. "A general approach for optimizing regular criteria in the job-shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 212(1), pages 33-42, July.
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