Optimality Conditions for Pareto-Optimal Solutions

Bibliographic Details
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 142-147]
Main Author: Gorbunov V. M. Vladimir Mikhailovich
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Other Authors: Sinyukova E. A. Elena Aleksandrovna
Summary:Title screen
In this paper the authors describe necessary conditions of optimality for continuous multicriteria optimization problems. It is proved that the existence of effective solutions requires that the gradients of individual criteria were linearly dependent. The set of solutions is given by system of equations. It is shown that for finding necessary and sufficient conditions for multicriteria optimization problems, it is necessary to switch to the single-criterion optimization problem with the objective function, which is the convolution of individual criteria. These results are consistent with non-linear optimization problems with equality constraints. An example can be the study of optimal solutions obtained by the method of the main criterion for Pareto optimality.
Режим доступа: по договору с организацией-держателем ресурса
Published: 2016
Series:Numerical Simulation of Physical and Chemical Processes
Subjects:
Online Access:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.142
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646427