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This document presents a new sequential quadratic programming (SQP) method for solving multi-objective optimization problems with inequality constraints. The method generates a feasible descent direction using a linear approximation of the objective and constraint functions, along with a quadratic restriction. A non-differentiable penalty function is used to restrict constraint violations. Under mild assumptions like the Mangasarian-Fromovitz constraint qualification, the method is proven to converge to a c

Author

Geno Kronos

Language

EN