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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Bibliographic Details

Published in:	Engineering optimization Vol. 51; no. 1; pp. 22 - 41
Main Authors:	Ansary, Md. Abu Talhamainuddin, Panda, Geetanjali
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 02.01.2019 Taylor & Francis Ltd
Subjects:	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 Access:	Get full text
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