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 ...

Abstract: With the rapid growth of the on-demand economy, logistics companies and merchants increasingly struggle to meet customer demands in dynamic and uncertain conditions. This paper studies the ...

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 ...

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 ...

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 ...

Many market sectors, such as financial trading, defense, industry automation and gaming, long have had a need for low latencies and deterministic response time. Traditionally, custom-built hardware ...

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