Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

Abstract: In this paper, we propose a Multi-objective Particle Swarm Optimization (MOPSO) approach based on a decomposition framework with constraint-handling mechanisms to solve Constrained ...

Prediction markets have moved from a niche curiosity to a legitimate asset class almost overnight, with annualized revenue already above $3B and analysts projecting a path toward $10B by 2030. Yet the ...

The bees had to roll the ball under a blue "flower," then stand atop the moved object to access a sweet treat. Mikko Törmänen / University of Oulu Some bumblebees can spontaneously solve problems, a ...

Think about placing dots on a flat surface. You want as many pairs as possible to be separated by the same distance. For any amount of dots, what is the greatest possible number of pairs that can be ...

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...

Abstract: The constrained time-varying nonlinear optimization (CTVNO) problems with the linear equality and inequality constraints have attracted increasing attention in recent years. Although some ...