Chen Ling, Xiaojun Chen, Masao Fukushima and Liqun Qi
Key words:
Stochastic generalized semi-infinite programming problem,
complementarity constraint, smoothing implicit programming method, global
convergence
Mathematices Subject Classification: 90C15, 90C34

Abstract: This paper discusses a generalized semi-infinite programming problem
under uncertainty. The expected value approach is applied to define a deterministic version of the problem. We propose a new reformulation by using the first order optimality conditions of the second stage optimization problem. We then present a smoothing implicit programming method to solve the problem with finite discrete distribution. Global convergence results are obtained under mild conditions.
A smoothing implicit programming approach for solving a class of stochastic generalized semi-infinite programming problems

Special Issue in Honor of the 70th Birthday of R.Tyrrell Rockafellar
Volume 1, Number 1, January 2005, pp. 127-145
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