The phrase "and finding the optimal" is correct and usable in written English.
It can be used in contexts where you are discussing the process of searching for the best or most effective solution or option.
Example: "The research focuses on improving efficiency and finding the optimal method for data analysis."
Alternatives: "and discovering the best" or "and identifying the ideal".
The most common methods include selecting functions based on past experience, contrasting optimization from several experiments and finding the optimal parameters through cross-validation (Zhen and Fan 2003).
The novel PS algorithm combined with the modified repair strategy outperforms the studied GA methods for constrained stacking sequence optimization of composite laminate both in computational performance and finding the optimal objective value with high reliability.
The process of self-learning and finding the optimal value consumed more time.
Unfortunately, the problem (6) is an NP-hard problem and finding the optimal solution of (6) has exponential complexity.
Numerical results discussing the optimal choice of the fields to measure and finding the optimal excitation frequencies finalize this work.
Let us consider and given a 3D object, our normalization process is generative, that is, based on varying and finding the optimal set of parameters (1).
We assume prediction noise as a Gaussian distribution and formulate finding the optimal hyperparameters as an optimization problem.
The adsorption modeling basically has two advantages: (1) development a relation between input and output effective parameters irrespective of behavior and (2) finding the optimal condition for the removal of target pollutant which has been verified by confirmatory experimental run.
The results of BoWR are further investigated and for finding the optimal number of clusters, gap statistics have been used.
Thus, even for a moderate size network with few nodes and links, finding the optimal solution becomes quickly impractical.
The multi-objective genetic algorithm and non-linear programming by quadratic Lagrangian (NLPQL) method have completely different functions in optimizing and finding the global optimal design.
