A Support Vector Machine-based Approach to Chance Constrained Problems using Huge Data Sets
Author:
Affiliation:
1. Department of Informatics, School of Science and Engineering, Kindai University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2021/0/2021_46/_pdf
Reference24 articles.
1. [1] A. Prékopa: Stochastic Programming, Kluwer Academic Publishers, 1995.
2. [2] S. P. Uryasev: Probabilistic Constrained Optimization: Methodology and Applications, Kluwer Academic Publishers, 2001.
3. [3] M. Lubin, Y. Dvorkin, and S. Backhaus: A robust approach to chance constrained optimal power flow with renewable generation, IEEE Trans. on Power Systems, Vol.31, No.5, pp.3840–3849, 2016.
4. [4] K. Tagawa and S. Miyanaga: An approach to chance constrained problems using weighted empirical distribution and differential evolution with application to flood control planning, Electronics and Communications in Japan, Vol.102, No.3, pp.45–55, 2019.
5. [5] M. S. Bazaraa, H. D. Sherali, and C. M. Shetty: Nonlinear Programming: Theory and Algorithm, John Wiley & Sons, 2006.
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