A filter line search SQP algorithm reduces iterations and computation time for nonconvex SOS programs compared to prior methods.
Khan, Christiane Tammer, and Constantin Zalinescu.Set-valued Op- timization - An Introduction with Applications
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Establishes relationships between sets of properly efficient solutions for constrained and unconstrained vector optimization problems via vectorial penalization under cone convexity assumptions.
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On the Practical Implementation of a Sequential Quadratic Programming Algorithm for Nonconvex Sum-of-squares Problems
A filter line search SQP algorithm reduces iterations and computation time for nonconvex SOS programs compared to prior methods.
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Proper efficiency results in vector optimisation in real linear-topological spaces based on vectorial penalisation
Establishes relationships between sets of properly efficient solutions for constrained and unconstrained vector optimization problems via vectorial penalization under cone convexity assumptions.