AI is revolutionizing how schools and universities create timetables, turning weeks of manual planning into days of automated, conflict-free scheduling. These systems balance teacher workloads, ...

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...

ABSTRACT: Effective household waste management in developing cities requires optimization approaches adapted to local constraints. This article proposes a methodological framework for bi-weekly ...

Many real-world applications for complex industrial engineering or design problems can be modelled as optimisation problems. These problems often have features such as multi-modality (multiple optimal ...

In 2021, just months after the first COVID vaccines debuted, concern was growing about an exceedingly rare but sometimes deadly outcome of certain shots. Two related vaccines—one from AstraZeneca and ...

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to add, starting with ...

Rutgers Health–led research builds on decades of work showing that family and environmental factors interact with genetics to shape child development Parents may have more influence than they realize ...