First and Second-Order Optimality Conditions for Convex Composite Multiobjective Optimization

被引:0
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作者
X. Q. Yang
V. Jeyakumar
机构
[1] University of Western Australia,Department of Mathematics
[2] University of New South Wales,Department of Applied Mathematics
关键词
Multiobjective optimization; nonsmooth analysis; convex analysis; sufficient optimality condition;
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摘要
Multiobjective optimization is a useful mathematical model in order to investigate real-world problems with conflicting objectives, arising from economics, engineering, and human decision making. In this paper, a convex composite multiobjective optimization problem, subject to a closed convex constraint set, is studied. New first-order optimality conditions for a weakly efficient solution of the convex composite multiobjective optimization problem are established via scalarization. These conditions are then extended to derive second-order optimality conditions.
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页码:209 / 224
页数:15
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