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Multiobjective programming under d-invexity
DOI:10.1016/S0377-2217(01)00092-3.png)
摘要
En 中文
In this paper, a generalization of convexity is considered in the case of nonlinear multiobjective programming problem where the functions involved are nondifferentiable. By considering the concept of Pareto optimal solution and substituting d-invexity for convexity, the Fritz John type and Karush-Kuhn-Tucker type necessary optimality conditions and duality in the sense of Mond-Weir and Wolfe for nondifferentiable multiobjective programming are given. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
multiobjective programming
(weak) Pareto optimal solution
d-invex function with respect to eta
optimality conditions
duality
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期刊
IF:
6
论文数:
2.2W
被引数:
7.3W
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