Distributed optimisation and algorithms form a vibrant field that addresses the challenge of coordinating multiple agents or nodes to collectively solve global optimisation problems.

Therefore control and optimization algorithms deployed in such networks should be completely distributed, relying only on local information and processing. This course studies various models and ...

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 ...

MicroAlgo Inc. announced the QIRO algorithm for quantum-combinatorial optimization, enhancing efficiency in complex problem solving.

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

Today, MemSQL is announcing version 6.5, introducing autonomous workload optimization, and bringing improved data ingestion, as well as query execution speed.