Abstract: UAV task allocation still has some challenges in the field of military search, such as the balance of search task execution. In order to solve the problem of UAV task allocation reasonably, ...

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

There was an error while loading. Please reload this page. This project implements an Ant Colony Optimization (ACO) algorithm for task scheduling in a cloud computing ...

In recent years, global car ownership has increased year by year, leading to road traffic safety and vehicle congestion conditions are not optimistic. With the support of a new round of scientific and ...

TaskExp is a generic multi-task pre-training algorithm to enhance the generalization of learning-based multi-robot exploration policies. Our initial platform, MAexp, revealed limitations with MARL ...

The single technique for teaching neural networks multiple skills is a step towards general-purpose AI. If you can recognize a dog by sight, then you can probably recognize a dog when it is described ...

New York City has released its long-awaited report on government algorithms, but not everyone is happy with the result. “This is a sad precedent.” In 2017, the city passed a local law to national ...

A new technique breaks Dijkstra's 70-year-old record: it finds routes faster in huge networks, changing graph theory forever.