Necessary Optimality Conditions for Multiobjective Bilevel Programs

被引:50
|
作者
Ye, Jane J. [1 ]
机构
[1] Univ Victoria, Dept Math & Stat, Victoria, BC V8W 3R4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
multiobjective optimization; preference; necessary optimality condition; partial calmness; constraint qualification; nonsmooth analysis; value function; bilevel programming problem; VARIATIONAL INEQUALITY CONSTRAINTS; OPTIMIZATION PROBLEMS; COMPLEMENTARITY CONSTRAINTS; EQUILIBRIUM CONSTRAINTS; MATHEMATICAL PROGRAMS; QUALIFICATIONS; SENSITIVITY;
D O I
10.1287/moor.1100.0480
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The multiobjective bilevel program is a sequence of two optimization problems, with the upper-level problem being multiobjective and the constraint region of the upper level problem being determined implicitly by the solution set to the lower-level problem. In the case where the Karush-Kuhn-Tucker (KKT) condition is necessary and sufficient for global optimality of all lower-level problems near the optimal solution, we present various optimality conditions by replacing the lower-level problem with its KKT conditions. For the general multiobjective bilevel problem, we derive necessary optimality conditions by considering a combined problem, with both the value function and the KKT condition of the lower-level problem involved in the constraints. Most results of this paper are new, even for the case of a single-objective bilevel program, the case of a mathematical program with complementarity constraints, and the case of a multiobjective optimization problem.
引用
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页码:165 / 184
页数:20
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