Abstract
This chapter presents real-world applications of previously discussed modern optimization methods: traveling salesman problem, time series forecasting, and wine quality classification.
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References
Applegate D, Bixby R, ChvĂ¡tal V, Cook W (2001) TSP cuts which do not conform to the template paradigm. In: Computational combinatorial optimization. Springer, pp 261–303
Applegate DL, Bixby RE, Chvatal V, Cook WJ (2011) The traveling salesman problem: a computational study. Princeton University Pres, Princeton
Bache K, Lichman M (2013) UCI machine learning repository. http://archive.ics.uci.edu/ml
Bossek J (2017) ecr 2.0: a modular framework for evolutionary computation in R. In: Proceedings of the genetic and evolutionary computation conference companion, pp 1187–1193
Chen T, Guestrin C (2016) Xgboost: a scalable tree boosting system. In: Krishnapuram B, Shah M, Smola AJ, Aggarwal CC, Shen D, Rastogi R (eds) Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, San Francisco, 13–17 Aug 2016. ACM, pp 785–794. https://doi.org/10.1145/2939672.2939785
Cortez P (2010) Data mining with neural networks and support vector machines using the R/rminer tool. In: Perner P (ed) Advances in data mining – applications and theoretical aspects, 10th industrial conference on data mining. LNAI 6171. Springer, Berlin, pp 572–583
Cortez P (2012) Data mining with multilayer perceptrons and support vector machines, chap 2. Springer, pp 9–25
Cortez P, Cerdeira A, Almeida F, Matos T, Reis J (2009) Modeling wine preferences by data mining from physicochemical properties. Decis Support Syst 47(4):547–553
Croes G (1958) A method for solving traveling-salesman problems. Oper Res 6(6):791–812
Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27:861–874
Freitas AA (2004) A critical review of multi-objective optimization in data mining: a position paper. ACM SIGKDD Explor Newslett 6(2):77–86
Gonçalves S, Cortez P, Moro S (2020) A deep learning classifier for sentence classification in biomedical and computer science abstracts. Neural Comput Appl 32(11):6793–6807. https://doi.org/10.1007/s00521-019-04334-2
Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157–1182
Hutter F, Kotthoff L, Vanschoren J (eds) (2019) Automated machine learning – methods, systems, challenges. The Springer series on challenges in machine learning. Springer. https://doi.org/10.1007/978-3-030-05318-5
Kaboudan MA (2003) Forecasting with computer-evolved model specifications: a genetic programming application. Comput Oper Res 30(11):1661–1681
Kohavi R (1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. In: Proceedings of the international joint conference on artificial intelligence (IJCAI), Montreal, vol 2. Morgan Kaufmann
Makridakis S, Weelwright S, Hyndman R (1998) Forecasting: methods and applications, 3rd edn. Wiley, New York
Michalewicz Z, Fogel D (2004) How to solve it: modern heuristics. Springer, New York
Nagata Y, Kobayashi S (2013) A powerful genetic algorithm using edge assembly crossover for the traveling salesman problem. INFORMS J Comput 25(2):346–363. https://doi.org/10.1287/ijoc.1120.0506
Reinelt G (1994) The traveling salesman: computational solutions for TSP applications. Springer
Rocha M, Mendes R, Cortez P, Neves J (2001) Sitting guest at a wedding party: experiments on genetic and evolutionary constrained optimization. In: Proceedings of the 2001 congress on evolutionary computation (CEC2001), vol 1. IEEE Computer Society, Seoul, pp 671–678
Stepnicka M, Cortez P, Donate JP, StepnickovĂ¡ L (2013) Forecasting seasonal time series with computational intelligence: on recent methods and the potential of their combinations. Expert Syst Appl 40(6):1981–1992
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Cortez, P. (2021). Applications. In: Modern Optimization with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-030-72819-9_7
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DOI: https://doi.org/10.1007/978-3-030-72819-9_7
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