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Saddle Point Optimality Criteria of Interval Valued Non-Linear Programming Problem
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作者 Md Sadikur Rahman Emad E.Mahmoud +2 位作者 Ali Akbar Shaikh Abdel-Haleem Abdel-Aty asoke kumar bhunia 《Computer Systems Science & Engineering》 SCIE EI 2021年第9期351-364,共14页
The present paper aims to develop the Kuhn-Tucker and Fritz John criteria for saddle point optimality of interval-valued nonlinear programming problem.To achieve the study objective,we have proposed the definition of ... The present paper aims to develop the Kuhn-Tucker and Fritz John criteria for saddle point optimality of interval-valued nonlinear programming problem.To achieve the study objective,we have proposed the definition of minimizer and maximizer of an interval-valued non-linear programming problem.Also,we have introduced the interval-valued Fritz-John and Kuhn Tucker saddle point problems.After that,we have established both the necessary and sufficient optimality conditions of an interval-valued non-linear minimization problem.Next,we have shown that both the saddle point conditions(Fritz-John and Kuhn-Tucker)are sufficient without any convexity requirements.Then with the convexity requirements,we have established that these saddle point optimality criteria are the necessary conditions for optimality of an interval-valued non-linear programming with real-valued constraints.Here,all the results are derived with the help of interval order relations.Finally,we illustrate all the results with the help of a numerical example. 展开更多
关键词 Convexity of interval valued function extended Fritz-John theorem Interval order relation Karlin’s constraint saddle point optimality
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