A New Ant Algorithmic Approach for Solving PFSP
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Mathematics,General Earth and Planetary Sciences,General Agricultural and Biological Sciences,General Chemistry
Link
https://link.springer.com/content/pdf/10.1007/s40995-021-01202-4.pdf
Reference17 articles.
1. Alaykýran K, Engin O, Döyen A (2007) Using ant colony optimization to solve hybrid flow shop scheduling problems. Int J Adv Manuf Technol 35(5):541–550
2. Allahverdi A, Al-Anzi FS (2006) A PSO and a Tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application. Comput Oper Res 33(4):1056–1080
3. Ancău M (2012) On solving flowshop scheduling problems. Proc Roman Acad Ser A 13(1):71–79
4. Bellman R, Esogbue AO, Nabeshima I (2014) Mathematical aspects of scheduling and applications: modern applied mathematics and computer science, vol 4. Elsevier, Amsterdam
5. Brum A, Ritt M (2018) Automatic design of heuristics for minimizing the makespan in permutation flow shops. In: 2018 IEEE congress on evolutionary computation (CEC). IEEE, pp 1–8
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