正规化(语言学)
数学优化
互补性(分子生物学)
互补理论
背景(考古学)
数学
数理经济学
双层优化
混合互补问题
路径(计算)
应用数学
计算机科学
最优化问题
非线性系统
量子力学
遗传学
生物
物理
古生物学
人工智能
程序设计语言
作者
Juan Pablo Luna,Claudia Sagastizábal,Julia Filiberti,Steven A. Gabriel,M. V. Solodov
摘要
.Equilibrium problems with equilibrium constraints are appropriate modeling formulations in a number of important areas, such as energy markets, transportation planning, and logistics. These models often correspond to bilevel games, in which certain dual variables, representing the equilibrium price, play a fundamental role. We consider multileader single-follower equilibrium problems having a linear program in the lower level. Because in this setting the lower-level response to the leaders' decisions may not be unique, the game formulation becomes ill-posed. We resolve possible ambiguities by considering a sequence of bilevel equilibrium problems, endowed with a special regularization term. We prove convergence of the approximating scheme. Our technique proves useful numerically over several instances related to energy markets. When using PATH to solve the corresponding mixed-complementarity formulations, we exhibit that, in the given context, the regularization approach computes a genuine equilibrium price almost always, while without regularization the outcome is quite the opposite.Keywordsequilibrium problems with equilibrium constraintsmultileader single-follower gamesdual-primal regularizationenergy marketsMSC codes90C3391A1049M0549M15
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