The phrase "advanced optimization algorithms" is correct and usable in written English.
You can use it when discussing complex mathematical or computational methods designed to improve performance or efficiency in various fields, such as computer science, engineering, or data analysis.
Example: "The research team implemented advanced optimization algorithms to enhance the performance of their machine learning models."
Alternatives: "sophisticated optimization techniques" or "high-level optimization methods."
Then regularized loss resembling quantile regression as loss function to be optimized by ANN, and advanced optimization algorithms to avoid local minimum are adopted to describe the randomness of the load in an annual scope.
We identify the resulting upper bound problem as a second-order conical optimization problem, for which advanced optimization algorithms became recently available.
In both stages, advanced optimization algorithms were used to find physiologically realistic values of model parameters that best fit the available data – full details are provided in an additional file (see Additional file 2).
Further improvement of process performance is expected when combining the proposed dynamic model with advanced optimization algorithms to derive the optimal bioprocess operating strategy.
This research presents the architecture of a technology platform capable of integrating different types of data from building sensors and providing an interface to manage and operate facility devices, which is supported by advanced optimization algorithms.
This paper presents two advanced optimization algorithms known as particle swarm optimization (PSO) and simulated annealing (SA) to find the optimal combination of design parameters for minimum weight of a spur gear train.
Model predictive control is also designed that uses advanced optimization algorithm to minimize the error while linearizing the process.
There is a lot of room for further improvement of the existing methods by employing advanced optimization theory and algorithm design techniques.
The plugin mechanism also enables incorporating further advanced optimization routines, such as genetic algorithms, which can be used for optimization of component parameters and efficient exploration of the corresponding state space.
"JuMP gives entrepreneurs access to advanced optimization tools and enables them to deploy advanced algorithms rapidly into a work environment," he says.
Therefore, advanced optimization concepts like column generation and cutting plane algorithms are used.
