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An Exact l(1) Penalty Approach for Interval-Valued Programming Problem

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摘要 The objective of this paper is to propose an exact l1 penalty method for constrained interval-valued programming problems which transform the constrained problem into an unconstrained interval-valued penalized optimization problem.Under some suitable conditions,we establish the equivalence between an optimal solution of interval-valued primal and penalized optimization problem.Moreover,saddle-point type optimality conditions are also established in order to find the relation between an optimal solution of penalized optimization problem and saddle-point of Lagrangian function.Numerical examples are given to illustrate the derived results.
出处 《Journal of the Operations Research Society of China》 EI CSCD 2016年第4期461-481,共21页 中国运筹学会会刊(英文)
基金 the Department of Science and Technology,New Delhi,India(No.SR/FTP/MS-007/2011).
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