Fire and manoeuvrer optimizer for flow shop scheduling problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-022-00767-2.pdf
Reference84 articles.
1. Alan A, Pritsker B, Waiters LJ, Wolfe PM (1969) Multiproject scheduling with limited resources: a zero-one programming approach. Manag Sci 16(1):93–108. https://doi.org/10.1287/mnsc.16.1.93
2. Ignall E, Schrage L (1965) Application of the branch and bound technique to some flow-shop scheduling problems. Oper Res 13(3):400–412. https://doi.org/10.1287/opre.13.3.400
3. Selmer MJ (1954) Optimal two-and three-stage production schedules with setup times included. Naval Res Log Quart 1(1):61–68. https://doi.org/10.1002/nav.3800010110
4. Xin-She Y (2012) Artificial intelligence, evolutionary computing and metaheuristics: in the footsteps of Alan Turing, volume 427. Springer
5. Fouad B, Rajib Kumar B (2020) Nature inspired methods for metaheuristics optimization: algorithms and applications in science and engineering: vol 16. Springer. https://doi.org/10.1007/978-3-030-26458-1
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