This paper proposes a new scheme of active control, using optimization algorithms, to dynamically find traffic signal control plans that optimize traffic conditions in delimited networks and corridors.
Therefore, the main idea of this work is to highlight the importance of using optimization algorithms to fine-tune the parameters for OF-based techniques.
Furthermore, based on the nature of the cost function, it should be minimized using optimization algorithms: to find a solution with the least possible cost.
In general, tensor learning algorithms use alternative optimization algorithms to calculate the result.
These two functions can be combined to create a cost function, and therefore, used by optimization algorithms to design digital filters.
However, using conventional optimization algorithms to solve the optimal design problem for continuous-state systems becomes very complex.
The identification process uses different optimization algorithms to improve the fitting of the model's response to selected criteria.
The carbon boundary points (CBPs) for different torrefied biomass blending ratios (TBBRs) are found using specific optimization algorithms to maximize the syngas yield.
Additionally, the NN models can be used with optimization algorithms to maximize energy savings and minimize life-cycle costs for a given system.
Once the system configuration data have been obtained, the app operates automatically using certain optimization algorithms to provide a final solution, in which the estimated equilibrium meets the crop's nutrient requirements.
