期刊论文详细信息
Journal of inequalities and applications | |
Non-differentiable multiobjective mixed symmetric duality under generalized convexity | |
Jueyou Li1  | |
关键词: symmetric duality; non-differentiable nonlinear programming; generalized convexity; support function; | |
DOI : 10.1186/1029-242X-2011-23 | |
学科分类:数学(综合) | |
来源: SpringerOpen | |
【 摘 要 】
The objective of this paper is to obtain a mixed symmetric dual model for a class of non-differentiable multiobjective nonlinear programming problems where each of the objective functions contains a pair of support functions. Weak, strong and converse duality theorems are established for the model under some suitable assumptions of generalized convexity. Several special cases are also obtained. MS Classification: 90C32; 90C46.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201902017493070ZK.pdf | 441KB | download |