Results 121 to 130 of about 8,860,352 (207)

Distributionally Robust Game Theory

, 2015
The classical, complete-information two-player games assume that the problem data (in particular the payoff matrix) is known exactly by both players. In a now famous result, Nash has shown that any such game has an equilibrium in mixed strategies. This result was later extended to a class of incomplete-information two-player games by Harsanyi, who ...
openaire   +2 more sources

A distributionally robust bilevel optimization model for wholesale-retail electricity market design. [PDF]

Sci Rep
Jia X, Ji P, Chen F, Deng H, Chen M, Zhuang X, Qi X, Tan Z.   +7 more
europepmc   +1 more source

Omnichannel pricing and inventory strategies considering live streaming selling: A data-driven distributionally robust optimization approach. [PDF]

PLoS One
Mou Y, Zhou H, Yang X, Guan Z.
europepmc   +1 more source

A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions. [PDF]

J Optim Theory Appl
Dienstbier J, Liers F, Rolfes J.
europepmc   +1 more source

Distributionally robust hybrid energy management in smart mining using process-coupled primal-dual mirror descent. [PDF]

Sci Rep
Wang D, Li Y, Gong C, Li T, Wang F, Luo S, Li J.   +6 more
europepmc   +1 more source

Distributionally robust optimization scheduling of port energy system considering hydrogen production and ammonia synthesis. [PDF]

Heliyon
Liu X.
europepmc   +1 more source

Distributionally Robust Optimization

, 2018
Gao, Jian, Xu, Yida, Barreiro-Gomez, Julian, Ndong, Massa, Smyrnakis, Michail, Gao, Hamidou TembineJian, Xu, Yida, Barreiro-Gomez, Julian, Ndong, Massa, Smyrnakis, Michalis, Tembine, Hamidou   +10 more
openaire   +3 more sources

Research on distributionally robust energy storage capacity allocation for output fluctuations in high permeability wind and solar distribution networks. [PDF]

PLoS One
Wang X, Sun B, Ge C, Liu Q, Li Z, Huang M.   +5 more
europepmc   +1 more source

Distributionally Robust Regret Minimization

We consider decision-making problems involving the optimization of linear objective functions with uncertain coefficients. The probability distribution of the coefficients--which are assumed to be stochastic in nature--is unknown to the decision maker but is assumed to lie within a given ambiguity set, defined as a type-1 Wasserstein ball centered at a
openaire   +2 more sources

Optimizing virtual power plant coordination through locational marginal flexibility under network constraints. [PDF]

Sci Rep
Xie L, Li G, Xu M, Dong X, Tan Z.
europepmc   +1 more source