Sentence examples for an optimize problem from inspiring English sources
In the 'Problem formulation' section, we propose an energy utility function and formulate an optimize problem.
The multi-level thresholding problem can be posed as an optimization problem, optimizing some thresholding criterion.
Sarajlc et al. tried to obtain optimized threshold values through an optimization problem [22, 23].
Reinforcement learning is a branch of machine learning that leverages the idea of reward to optimize problem solving.
This paper proposes a Multi-Objective Grey Wolf Optimizer (MOGWO) in order to optimize problems with multiple objectives for the first time.
When you're creating a digital twin, you're doing so to solve and optimize problems in your manufacturing plant.
The genetic algorithm is an optimization technique inspired by the nature of living organisms, which is also referred to as the evolutionary algorithm; it is used to optimize problems in various industries (Fesahat and Payvandy 2013).
Being an intelligence method for optimizing problem, Genetic Algorithm has been used for optimizing the performance of MPC controller by tuning the controller parameter due to minimum rise time, settling time, overshoot of the target point of the flexible structure and its mode shape amplitudes to make large attitude maneuvers possible.
In this paper, a new method is proposed to optimize a multi-response optimization problem based on the Taguchi method for the processes where controllable factors are the smaller-the-better (STB -type variableSTB -type analyzer desires to find an optimal solution with smaller amount of controllable factors.
Mathematically, optimizing problem of the generators' profits is considered as a search problem of vector (vec{u}) that causes to maximize the function.
Although dynamic games are closely related to optimal control problems, there is a little difference between the two: there is a single control input (u(t)) and a single criterion to be optimized in an optimal control problem, and dynamic game theory generalizes this to two control inputs (u(t)), (v(t)) and two criteria.
