Cooperative Control of Multiple Swarms of Mobile Robots with Communication Constraints
作者： Yechiel J. Crispin
DOI: 10.1007/978-3-540-88063-9_13
关键词: Maxima and minima 、 Adaptive control 、 Implicit parallelism 、 Mobile robot 、 Domain (software engineering) 、 Swarm behaviour 、 Swarm intelligence 、 Computer science 、 Distributed computing 、 Artificial intelligence 、 Particle swarm optimization
摘要: We study the effect of limited communication range and noise on cooperative control a group swarms mobile robots using Particle Swarm Optimization algorithm. The advantage multiple is parallel search for common goal, in addition to implicit parallelism built each independent swarm. demonstrate method problem where searches similar minima or objects given domain plane. algorithm robust with respect values more than 20% characteristic size domain. applied formations, several are initially dispersed over formation breaks down when less half typical formation.
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