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Accession Number:
AD1081002
Title:
Control of Multi-Agent Swarms with Cooperative Particle Swarm Optimization
Descriptive Note:
[Technical Report, Technical Report]
Corporate Author:
NUWC Division Newport
Report Date:
2019-06-06
Pagination or Media Count:
35
Abstract:
This report describes a new approach for the distributed control of multi-agent systems that are performing search in uncertain environments. This approach is called Cooperative Particle Swarm Optimization Cooperative PSO, and is derived as a modification of Particle Swarm Optimization PSO that accounts for uncertainty in the search environment. This research develops a Cooperative PSO technique and illustrates how it can be applied to physical search systems such as robotic swarms to successfully control the cooperative behavior of a small swarm of agents. Simulation experiments are performed to show the algorithms effectiveness via comparisons against conventional PSO in scenarios with uncertain search environments.
Distribution Statement:
[A, Approved For Public Release]
