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 ...

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 ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

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 ...