Optimality Conditions for Pareto-Optimal Solutions; Key Engineering Materials; Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015)

Bibliographische Detailangaben
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 142-147]
1. Verfasser: Gorbunov V. M. Vladimir Mikhailovich
Körperschaft: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Weitere Verfasser: Sinyukova E. A. Elena Aleksandrovna
Zusammenfassung: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
Sprache:Englisch
Veröffentlicht: 2016
Schriftenreihe:Numerical Simulation of Physical and Chemical Processes
Schlagworte:
Online-Zugang:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.142
Format: Elektronisch Buchkapitel
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646427

MARC

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330 |a 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. 
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