A sequential quadratically constrained quadratic programming technique for a multi-objective optimization problem

In this article a line search algorithm is proposed for solving constrained multi-objective optimization problems. At every iteration of the proposed method, a subproblem is formulated using quadratic approximation of all functions. A feasible descent direction is obtained as a solution of this subp...

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Veröffentlicht in:	Engineering optimization Jg. 51; H. 1; S. 22 - 41
Hauptverfasser:	Ansary, Md. Abu Talhamainuddin, Panda, Geetanjali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 02.01.2019 Taylor & Francis Ltd
Schlagworte:	Algorithms Constraints efficient solution Multi-objective optimization Multiple objective analysis Optimization Penalty function purity metric Quadratic programming Search algorithms spread metric
ISSN:	0305-215X, 1029-0273
Online-Zugang:	Volltext
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