A subgradient method for multiobjective optimization

被引：0
|
作者：
J. X. Da Cruz Neto
G. J. P. Da Silva
O. P. Ferreira
J. O. Lopes
机构：
[1] Universidade Federal do Piauí,DM
[2] Universidade Federal de Goiás,IME
来源：
Computational Optimization and Applications | 2013年 / 54卷
关键词：
Pareto optimality or efficiency; Multiobjective optimization; Subgradient method; Quasi-Féjer convergence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A method for solving quasiconvex nondifferentiable unconstrained multiobjective optimization problems is proposed in this paper. This method extends to the multiobjective case of the classical subgradient method for real-valued minimization. Assuming the basically componentwise quasiconvexity of the objective components, full convergence (to Pareto optimal points) of all the sequences produced by the method is established.
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页码：461 / 472
页数：11
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