Hybrid scalarization technique for solving multiobjectivequadratically constrained quadratic programming
Publish place: The 12th Seminar on Linear Algebra and its Applications
Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
SLAA12_043
تاریخ نمایه سازی: 6 شهریور 1402
Abstract:
In this paper, the Hybrid scalarization technique is exploited for solving multiobjectivequadratically constrained quadratic programming problems with (non)convexquadratic function. To this end, a linear programming relaxation is derived thatcomputes a lower bound on the optimal objective value of the scalarization problem.Basically, the proposed algorithm aims to find efficient solutions to the problem bysolving the linear relaxation sequentially on the subsets of the feasible region.
Keywords:
Multiobjective programming , quadratic programming , Linear relaxation , Convex and concave envelopes.
Authors
Hossein Salmei
Department of Mathematics, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran