Stochastic mathematical programs with hybrid equilibrium constraints
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摘要
This paper considers a stochastic mathematical program with hybrid equilibrium constraints (SMPHEC), which includes either “here-and-now” or “wait-and-see” type complementarity constraints. An example is given to describe the necessity to study SMPHEC. In order to solve the problem, the sampling average approximation techniques are employed to approximate the expectations and smoothing and penalty techniques are used to deal with the complementarity constraints. Limiting behaviors of the proposed approach are discussed. Preliminary numerical experiments show that the proposed approach is applicable.
论文关键词:90C30,90C33,Stochastic mathematical program with hybrid equilibrium constraints,Sampling average approximation,NCP function,Convergence
论文评审过程:Available online 8 February 2011.
论文官网地址:https://doi.org/10.1016/j.cam.2011.01.033