Multi-objective optimization problem: stability with respect to initial data perturbations in vector criterion / Lebedeva, / Semenova, / Sergienko. (2020)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2020, 56 (6))

Lebedeva T.T., Semenova N.V., Sergienko T.I.
Multi-objective optimization problem: stability with respect to initial data perturbations in vector criterion

The conditions of stability against input data perturbations in vector-valued criterion for multi-objective optimization problem with continuous partial criterion functions and feasible set of arbitrary structure are established. The sufficient and necessary conditions of three types of stability for the problem of finding Pareto optimal solutions are proved. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: Pareto optimal solutions, perturbations of input data, Slater set, Smale set, stability, vector optimization problem, vector-valued criterion, Input output programs, Pareto principle, Arbitrary structures, Criterion functions, Feasible set, Input datas, Multi-objective optimization problem, Pareto optimal solutions, Sufficient and necessary condition, Vector valued, Multiobjective optimization


Cite:
Lebedeva T.T., Semenova N.V., Sergienko T.I. (2020). Multi-objective optimization problem: stability with respect to initial data perturbations in vector criterion. Cybernetics and Systems Analysis, 56 (6), 107–114. doi: https://doi.org/10.1007/s10559-020-00315-9 http://jnas.nbuv.gov.ua/article/UJRN-0001169467 [In Russian].


 

Institute of Information Technologies of VNLU


+38 (044) 525-36-24
Ukraine, 03039, Kyiv, Holosiivskyi Ave, 3, room 209