NETWORK OPTIMIZATION SYSTEM IMPLEMENTING DISTRIBUTED PARTICLESWARM OPTIMIZATION

Patent №

US 8,018,874

Granted

2011-09-13

Filed 2009

Owner

HRL LABORATORIES, LLC

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12387752

Described is a distributed network optimization system implementing distributed particle swarm optimization, which allows multiple nodes to cooperate in searching efficiently for a set of parameter values that optimizes overall network performance. The system comprises a multi-dimensional network parameter space with software agents configured to operate as a cooperative swarm to locate an objective function optima. The software agents are individually distributed across multiple nodes in the network, and each node processes a portion of each software agent to obtain information regarding the local performance of the software agent. A global measure of network performance is then computed based on sharing of local performance information between nodes, which each node uses to adjust its parameters accordingly. In this manner, the global utility of the network can be optimized using local processing only. Also described is a method of utilizing the system.

AI classification

AI hardware1.00
Machine learning1.00
Planning1.00
Knowledge representation1.00
Vision0.21
Evolutionary computation0.10
Speech0.00
Natural language0.00

Ownership

HRL LABORATORIES, LLC

assignment · 230510301

Assignors

OWECHKO, YURI

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC