Journal of the Operations Research Society of China
Special Issue: Continuous Optimization
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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.
Key words: Exact l1 penalty method ·, Interval-valued programming ·, Convexity ·, LU optimal ·, Optimality conditions ·, Saddle-points
Anurag Jayswal · Jonaki Banerjee. An Exact l1 Penalty Approach for Interval-ValuedProgramming Problem[J]. Journal of the Operations Research Society of China, doi: 10.1007/s40305-016-0120-8.
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URL: https://www.jorsc.shu.edu.cn/EN/10.1007/s40305-016-0120-8
https://www.jorsc.shu.edu.cn/EN/Y2016/V4/I4/461
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