Additionally, novel distributed discrete-time algorithms have been developed for convex optimisation over directed networks by incorporating momentum terms and gradient tracking techniques ...

Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems.

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of an innovative hybrid algorithm that combines the advantages of classical and quantum computing to ...

Distributed optimization algorithms have revolutionized the decision-making process in distribution network management. Unlike their centralized counterparts, the effectiveness of distributed ...

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning ...