Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive ...

Abstract: The Multi-Knapsack Problem (MKP) is a fundamental challenge in operations research and combinatorial optimization. Quantum computing introduces new possibilities for solving MKP using ...

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 ...

This repository hosts the source code for the proposed algorithm, along with the corresponding instance data, aggregated results, and detailed solutions. The ...

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 ...