A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications
A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications
复制标题
DOI：
10.1007/s10462-021-10112-1
复制
发表时间：
2022-11-16
影响因子：
12
通讯作者：
Coghill, George M.
中科院分区：
文献类型：
--
作者：
Awad, Abubakr;Pang, Wei;Coghill, George M.
近年来，在 Nakagaki (AIR 407: 6803-470, 2000) 进行了著名的实验表明绒泡菌能够找到穿过迷宫的最短路线后，对多头绒泡菌的研究变得更加流行。随后的研究证实了受绒泡菌启发的算法能够解决广泛的现实应用。与之前关注生物学方面或仿生应用的评论相比，这里我们提出了一篇全面的评论，重点介绍了最近的多头绒泡菌生物学方面、数学模型和绒泡菌仿生算法及其应用。这篇评论的新颖之处源于我们对竞赛环境中绒泡菌智能行为的探索。此外，我们还提出了在竞争中模拟绒泡菌的新模型，其中多个绒泡菌彼此及其环境相互作用。竞争算法中的仿生绒泡菌被证明在未来的研究中具有巨大的潜力。
In recent years, research on Physarum polycephalum has become more popular after Nakagaki (AIR 407: 6803-470, 2000) performed their famous experiment showing that Physarum was able to find the shortest route through a maze. Subsequent researches have confirmed the ability of Physarum-inspired algorithms to solve a wide range of real-world applications. In contrast to previous reviews that either focus on biological aspects or bio-inspired applications, here we present a comprehensive review that highlights recent Physarum polycephalum biological aspects, mathematical models, and Physarum bio-inspired algorithms and their applications. The novelty of this review stems from our exploration of Physarum intelligent behaviour in competition settings. Further, we have presented our new model to simulate Physarum in competition, where multiple Physarum interact with each other and with their environments. The bio-inspired Physarum in competition algorithms proved to have great potentials for future research.