Nonsmooth rho - (eta, theta)-invexity in multiobjective programming problems
Abbreviated Journal Title
Optim. Lett.
Keywords
Multiobjective programming; Optimality; Duality; Nonsmooth rho - (eta, ; theta)-invexity; Efficiency; OPTIMALITY CONDITIONS; DUALITY; INVEXITY; Operations Research & Management Science; Mathematics, Applied
Abstract
In this paper we extend Reiland's results for a nonlinear (single objective) optimization problem involving nonsmooth Lipschitz functions to a nonlinear multiobjective optimization problem (MP) for rho - (eta, theta)-invex functions. The generalized form of the Kuhn-Tucker optimality theorem and the duality results are established for (MP).
Journal Title
Optimization Letters
Volume
6
Issue/Number
2
Publication Date
1-1-2012
Document Type
Article; Proceedings Paper
Language
English
First Page
253
Last Page
260
WOS Identifier
ISSN
1862-4472
Recommended Citation
"Nonsmooth rho - (eta, theta)-invexity in multiobjective programming problems" (2012). Faculty Bibliography 2010s. 3062.
https://stars.library.ucf.edu/facultybib2010/3062
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