DocumentCode
3234673
Title
Several Optimality Sufficient Conditions of Composite Multiobjective Programming
Author
Gao, Leifu ; Hou, Feifei
Author_Institution
Sch. of Sci., Liaoning Eng. Technol. Univ., FuXin, China
fYear
2010
fDate
21-24 Oct. 2010
Firstpage
255
Lastpage
257
Abstract
The composite vector function is introduced, which is applied to multiobjective programming with equality constraints and inequality constraints, three theorems on the optimality sufficient condition are established in this article. on the Banach space,optimality of composite function and pseudoconvex and strictly pseudo-convex of composite function are redefined. We introduce Jacobian matrix and knowledge of norm approximation. Several optimality sufficient conditions are given on pseudoconvex and strictly pseudo-convex in some part of the objective function and constraints.
Keywords
Jacobian matrices; approximation theory; convex programming; Banach space; Jacobian matrix; composite multiobjective programming; composite vector function; equality constraints; inequality constraints; nonlinear programming; norm approximation; objective function; pseudo-convex; Cities and towns; Educational institutions; Jacobian matrices; Optimization; Programming profession; Sufficient conditions; composite multiobjective programming; efficient solution; optimality condition;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking and Distributed Computing (ICNDC), 2010 First International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-8382-2
Type
conf
DOI
10.1109/ICNDC.2010.58
Filename
5645438
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