On approximate solutions for robust semi-infinite multi-objective convex symmetric cone optimization

We present approximate solutions for the robust semi-infinite multi-objective convex symmetric cone programming problem. By using the robust optimization approach, we establish an approximate optimality theorem and approximate duality theorems for approximate solutions in convex symmetric cone optim...

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Veröffentlicht in:	Positivity : an international journal devoted to the theory and applications of positivity in analysis Jg. 26; H. 5
Hauptverfasser:	Alzalg, Baha, Oulha, Amira Achouak
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.11.2022 Springer Nature B.V
Schlagworte:	Algebra Calculus of Variations and Optimal Control; Optimization Econometrics Fourier Analysis Linear programming Mathematics Mathematics and Statistics Multiple objective analysis Operator Theory Optimization Potential Theory Robustness Theorems 90C20 Semi-infinite programming Robust symmetric cone optimization 90C46 90C25 90C34 Approximate duality theorems 90C29 Multi-objective programming Approximate optimality conditions
ISSN:	1385-1292, 1572-9281
Online-Zugang:	Volltext
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