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Zbl 1230.90166
Chen, Jia Wei; Cho, Yeol Je; Kim, Jong Kyu; Li, Jun
Multiobjective optimization problems with modified objective functions and cone constraints and applications. (English)
[J] J. Glob. Optim. 49, No. 1, 137-147 (2011). ISSN 0925-5001; ISSN 1573-2916/e

Summary: In this paper, we consider a differentiable multiobjective optimization problem with generalized cone constraints (for short, MOP). We investigate the relationship between weakly efficient solutions for (MOP) and for the multiobjective optimization problem with the modified objective function and cone constraints [for short, $(\text{MOP})_{\eta}(x)$] and saddle points for the Lagrange function of $(\text{MOP})_{\eta}$ involving cone invex functions under some suitable assumptions. We also prove the existence of weakly efficient solutions for (MOP) and saddle points for Lagrange function of $(\text{MOP})_{\eta}$ by using the Karush-Kuhn-Tucker type optimality conditions under generalized convexity functions. As an application, we investigate a multiobjective fractional programming problem by using the modified objective function method.

MSC 2000:: *90C29 Multi-objective programming, etc.
90C46 Optimality conditions, duality
47J20 Inequalities involving nonlinear operators

Keywords: multiobjective optimization problem; $Q$-(pseudo)invex; $Q$-convexlike; weakly efficient solution; saddlepoint; KKT condition; weak (strong, converse) duality; Lagrange function

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