Abstract: Genetic algorithms are commonly used to solve many optimization and synthesis problems. An important issue facing the user is the selection of genetic algorithm parameters, such as mutation ...

For this reason, an algorithm that can solve these problems is effective and highly sought after. This article proposes a novel systematic framework using a two-phase distributed ruin-and-recreate ...

Traditional methods have limitations in the complex and changeable supply chain environment, while intelligent optimization algorithms have become important tools due to their global search ability ...

Penman-Monteith; hyperparameter tuning; Genetic Algorithms (GAs); grid search; random search In Brazil, water crises have exposed the importance of water management in various sectors, particularly ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational ...