An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34020-8_13
Reference10 articles.
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2. Emerick, B., Lu, Y., Vasko, F.: Using machine learning to predict the number of alternative solutions to a minimum cardinality set covering problem. Int. J. Industr. Optim. 2(1), 1–16 (2021)
3. Jolliffe, I.T., Cadima, J.: Principal component analysis: a review and recent developments. Philos. Trans. Roy. Soc. A: Math. Phys. Eng. Sci. 374(2065) (2016)
4. Karp, R.M.: Reducibility among combinatorial problems. In: Miller, R.E., Thatcher, J.W. (eds) Complexity of Computer Computations, Plenum, NY, pp. 85–103 (1972)
5. Koch, T., Berthold, T., Pedersen, J., Vanaret, C.: Progress in mathematical programming solvers from 2001 to 2020. EURO J. Comput. Optim. 10, 1–17 (2022)
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