A bi-objective optimization model for a bimodal network of oil transportation

Both in the case Ω = R n and Ω bounded, optimal choices for µ and ν are given by the formation of a certain number of subcities, which are circular areas with a pole of services in

In order to characterize this optimal anytime behavior, we propose a theoretical model that estimates the trade-off between runtime, given by the number of iterations performed by

As already mentioned, this further hypothesis permits to identify optimal vector fields for Beckmann’s problems with acyclic normal currents, so that well-posedness and equivalence

This is the case for specific metric deformations of principal chiral model on the SU (2) group [3, 9, 10] and on the Nappi-Witten group [17], respectively, for the Yang-Baxter

A robot with probes and tools capable of carrying out the entire operation, including skin incision, bone drilling, dura perforation, probe introduction, probe manipulation

The proposed approach makes use of two complementary models: One model is devoted to demand forecasting taking into account the modified accessibility of the multimodal

One of the multi-objective optimization techniques is the ε- constraint method (also called the e-constraint or trade-off method) introduced by Haimes et al. This method is based

Consequently, the Pareto point ( 134190 , 14 ) is advised. The model aims to maximize the total benefits by deploying bus priority lanes, at the same time, maintain the balance