Abstract: This letter develops two distributed algorithms to solve multi-robot task assignment problems (MTAP). We first describe MTAP as an integer linear programming (ILP) problem and then ...

Distributed algorithms for graph problems represent a vibrant area of study that addresses the challenges of decentralised computation across interconnected networks. By partitioning complex graph ...

Abstract: Fault-tolerant distributed algorithms contribute to the reliability and resilience of modern computation due to their fault-tolerant properties. Moreover, the increasing need for computing ...

This project enhances underwater multi-agent communication by integrating acoustic and optical technologies. It focuses on developing and implementing distributed algorithms, notably the Newton ...

With the high-proportion integration of distributed energy sources such as renewable energy and energy storage systems, the traditional distribution network has evolved from a passive power supply ...

Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...

Distributed Genetic Algorithms (DGA) is a Python based library that runs paralellized, user-customizable genetic algorithms. Given you have the appropriate hardware, the paralellization should net a ...