A Sequential Quadratic Programming Method for Constrained Multi-objective Optimization Problems

In this article, a globally convergent sequential quadratic programming (SQP) method is developed for multi-objective optimization problems with inequality type constraints. A feasible descent direction is obtained using a linear approximation of all objective functions as well as constraint functio...

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Veröffentlicht in:	arXiv.org 2020-04
Hauptverfasser:	Md Abu Talhamainuddin Ansary, Panda, Geetanjali
Format:	Artikel
Sprache:	eng
Schlagworte:	Convergence Critical point Descent Mathematics - Optimization and Control Multiple objective analysis Optimization Penalty function Quadratic programming Queuing theory
Online-Zugang:	Volltext
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