Query optimization is an important part of database management system. In this paper, through the research on query optimization technology, based on a number of optimization algorithms commonly used ...

Distributed database query optimization is very important in business field. This paper proposes an optimization based on genetic algorithm and immune theory. Distributed database query is optimized ...

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

Learn how to improve the accessibility of query processing and optimization algorithms for users with disabilities in search engines.

Learn how to optimize queries in a distributed database management system (DBMS) and overcome challenges like data fragmentation, replication, and network heterogeneity.

In distributed optimization of multi-agent systems, agents cooperate to minimize a global function which is a sum of local objective functions. Motivated by applications including power systems, ...

This is a python based distributed database query simulator. Implemented 6 different query optimization methods/algorithms for a 10-node simulated distributed database.

dbo is a compact python package for bayesian optimization. It utilizes sklearn GaussianProcessRegressor to model the surrogate function and offers multiple strategies to select queries. In addition to ...

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 ...