Abstract: This letter studies the issue of robust multitask distributed estimation under the error-in-variable (EIV) model where input noise and output impulsive noise are considered. In such cases, ...

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 ...

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 ...

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

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 ...