Models and algorithms for risk neutral and risk averse power optimization under uncertainty are presented. The approach differs from previous ones by incorporating the transmission network explicitly. Copyright Springer-Verlag 2009

Models and algorithms for risk neutral and risk averse power optimization under uncertainty are presented. The approach differs from previous ones by incorporating the transmission network explicitly. Copyright Springer-Verlag 2009

The purpose of this paper is to formally describe new optimization models for distributed telecommunication networks.Modern distributed networks put more focus on the processing of information and less on the actual transportation of datathan we are traditionally used to in telecommunications....

In this paper we present branch-and-bound (B& B) strategies for two-stage stochastic integer network design-based models with integrality constraints in the first-stage variables. These strategies are used within L-shaped decomposition-based B& B framework. We propose a valid inequality in order...

We consider a problem that arises in disaster-related strategic planning: investing in the links of a stochastic network to improve its expected post-disaster performance. We are given a network whose links are subject to random failures, where the failure probability of a link is reduced by...