Applications of Stochastic Mixed-Integer Second-Order Cone Optimization

Second-order cone programming problems are a tractable subclass of convex optimization problems that can be solved using polynomial algorithms. In the last decade, stochastic second-order cone programming problems have been studied, and efficient algorithms for solving them have been developed. The...

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Veröffentlicht in:	IEEE access Jg. 10; S. 3522 - 3547
Hauptverfasser:	Alzalg, Baha, Alioui, Hadjer
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms applications Computational geometry Convex functions Convexity Mixed integer Mixed integer linear programming mixed-integer programming Optimization Polynomials Programming Second-order cone programming Stochastic processes stochastic programming Uncertainty
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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