Control of Multi-Agent Swarms with Cooperative Particle Swarm Optimization
Technical Report,01 Jan 2019,06 Jun 2019
NUWC Division Newport Newport
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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.
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