Using DAO, segments are created and optimized within the same optimization process.
All CR users can calculate the optimal policy by solving the same optimization problem (15).
Each CR user solves the same optimization problem (16) and the corresponding optimal policy can be obtained similarly as (12).
Simulation experiments with CUIntegration revealed that routing of PHEVs resulted in cost savings of about 29% when optimized for the energy consumption, and for the same optimization objective, routing of EVs resulted in about 64% savings.
The same optimization algorithms, SDA, BFA and HSDBC, are implemented in order to optimize the vehicle control system parameters.
In real-time embedded convex optimization the same optimization problem is solved many times, with different data, often with a hard real-time deadline.
The comparison methods were tuned with the same optimization algorithm in order to find their best tuning parameters.
Our results show the benefits of having an integrated supply chain design framework that includes location, inventory, and routing decisions in the same optimization model.
In addition, a broadband QWP with 3 eV bandwidth in the EUV region, was also designed with the same optimization algorithm and an adapted merit function.
In the open-loop approach, we identify the models with the minimum additive uncertainty in H∞ norm and then constant or frequency dependent upper-bounds for the modeling error, in the same optimization procedure, are obtained.
Actual experimental data are used to compare performance of the fuzzy polynomial design with classical ones based on the Takagi Sugeno and linearized models, both using the same optimization criteria and design parameters.
