Sentence examples for use of metaheuristic algorithms from inspiring English sources

The WCOR methodology makes use of metaheuristic algorithms to find the best set of rules, as well as their weights, when learning weighted linguistic fuzzy systems from data.

Studies are more based on the use of metaheuristic algorithms in development of computational models than the theoretical basics.

OBL is a machine learning strategy commonly used to increase the performance of metaheuristic algorithms.

An in-depth discussion on the characteristics of metaheuristic algorithms that make them successful is presented.

Neighboring functions being the common reusable components of metaheuristic algorithms, GR-MR can also be utilized by other metaheuristic-based solutions in the future.

So far, a significant amount of metaheuristic algorithms are proposed which are different with together in algorithm motivation and steps.

Also, we show that every combination of metaheuristic algorithms may not lead to a new more efficient algorithm.

From these observations, the application of metaheuristic algorithms to big data analytics will also be an important research topic.

Due to the random nature of metaheuristic algorithms, this can be achieved simply by choosing different random initializations, or "seeds", for each thread.

This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications.

The optimization is performed by the use of several metaheuristic algorithms, including PSO, FA, WOA, and CSA.