The paper presents the stochastic optimization algorithm that may eventually be used by electric energy suppliers to coordinate charging of electric-drive vehicles (EDVs) in order to maximize the use of renewable energy in transportation. Due to the stochastic nature of transportation patterns,...

The Minimum Power Multicast Problem arises in wireless sensor networks and consists in assigning a transmission power to each node of a network in such a way that the total power consumption over the network is minimized, while a source node is connected to a set of destination nodes, toward...

We introduce a mixed integer linear modeling approach for the optimization of dynamic transport networks based on the piecewise linearization of nonlinear constraints and we show how to apply this method by two examples, transient gas and water supply network optimization. We state the mixed...

In this paper, we propose a second order interior point algorithm for symmetric cone programming using a wide neighborhood of the central path. The convergence is shown for commutative class of search directions. The complexity bound is <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$${O(r^{3/2}\,\log\epsilon^{-1})}$$</EquationSource> </InlineEquation> for the NT methods,...</equationsource></inlineequation>

In the last years, customer centricity has turned out to be a promising paradigm for maximizing corporate value by increasing value contributions from customers. In this context, the discipline of revenue management provides plenty of methods to optimize (predominantly short-term) cash-inflows...