A New Exact Penalty Function Approach to Semi-infinite Programming Problem

Author(s):  
Changjun Yu ◽  
Kok Lay Teo ◽  
Liansheng Zhang
Filomat ◽  
2015 ◽  
Vol 29 (4) ◽  
pp. 773-779
Author(s):  
Yibing Lv

In this paper, a new penalty function approach is proposed for the linear bilevel multiobjective programming problem. Using the optimality conditions of the lower level problem, we transform the linear bilevel multiobjective programming problem into the corresponding linear multiobjective programming problem with complementary constraint. The complementary constraint is appended to the upper level objectives with a penalty. Then, we give via an exact penalty method an existence theorem of Pareto optimal solutions and propose an algorithm for the linear bilevel multiobjective programming problem. Numerical results showing viability of the penalty function approach are presented.


Author(s):  
Nurullah Yilmaz ◽  
Ahmet Sahiner

In this study, we deal with the nonlinear constrained global optimization problems. First, we introduce a new smooth exact penalty function for constrained optimization problems. We combine the exact penalty function with the auxiliary function in regard to constrained global optimization. We present a new auxiliary function approach and the adapted algorithm for solving  non-linear inequality constrained global optimization problems. Finally, we illustrate the efficiency of the algorithm on some numerical examples.


1987 ◽  
Vol 37 (1) ◽  
pp. 19-40 ◽  
Author(s):  
Andrew R. Conn ◽  
Nicholas I. M. Gould

Filomat ◽  
2014 ◽  
Vol 28 (8) ◽  
pp. 1619-1627 ◽  
Author(s):  
Yue Zheng ◽  
Jiawei Chen ◽  
Xiaogang Cao

In this paper, we consider a class of semivectorial bilevel programming problem. An exact penalty function is proposed for such a problem. Based on this penalty function, an algorithm, which can obtain a global solution of the original problem, is presented. Finally, some numerical results illustrate its feasibility.


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