粒子群优化
机器人
多群优化
群机器人
计算机科学
利用
元启发式
群体行为
航程(航空)
数学优化
搜索算法
过程(计算)
人工智能
算法
工程类
数学
操作系统
航空航天工程
计算机安全
作者
Jim Pugh,Alcherio Martinoli
标识
DOI:10.1109/sis.2007.367956
摘要
Within the field of multi-robot systems, multi-robot search is one area which is currently receiving a lot of research attention. One major challenge within this area is to design effective algorithms that allow a team of robots to work together to find their targets. Techniques have been adopted for multi-robot search from the particle swarm optimization algorithm, which uses a virtual multi-agent search to find optima in a multi-dimensional function space. We present here a multi-search algorithm inspired by particle swarm optimization. Additionally, we exploit this inspiration by modifying the particle swarm optimization algorithm to mimic the multi-robot search process, thereby allowing us to model at an abstracted level the effects of changing aspects and parameters of the system such as number of robots and communication range
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