In recent years, research on Physarum polycephalum has become more popular after Nakagaki et al. (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 NP-hard problems. This review will through light on recent Physarum polycephalum biological aspects, mathematical models, and Physarum bio-inspired algorithms and their applications. 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.
翻译:近年来,在Nakagaki等人(2000年)进行了著名的实验,表明Physarum能够找到通过迷宫的最短路线之后,关于Physarum 聚乙二苯醚的研究越来越受欢迎。随后的研究证实,Physarum启发的算法能够解决一系列广泛的NP-硬性问题。这项审查将通过对最近的Physarum 聚乙二苯生物方面、数学模型和Physarum 生物启发的算法及其应用的观察进行。此外,我们还介绍了在竞争中模拟Physarum的新型模型,在竞争中,多个Physarum相互之间以及与其环境相互作用。竞争算法中生物启发的Physarum已证明具有巨大的未来研究潜力。