社会基础设施网络,对日常生活和经济活动至关重要,包括水等公用事业,电力,道路,和电信。这些系统的动态重塑对于响应连续变化至关重要,意外事件,和需求增加。本研究提出了一种受生物机制启发的新的动态重塑模型,专注于基于粘液霉菌趋化性的模型。粘液霉菌通过管的生长和退化进行重塑,从而自发地适应环境变化。此功能可应用于优化和动态重塑社交基础设施网络。本研究通过生物学实验阐明了粘液霉菌的趋化反应特征。通过将化学物质浓度的变化作为环境变化来观察霉菌的反应,确认粘液霉菌通过缩短其周期来适应环境变化。随后,基于这种动态响应,我们提出了一种新的动力学模型(振荡物理解算器,O-PS)扩展了现有的Physarum求解器(PS)。数值模拟表明,O-PS具有快速有效的路径重塑能力。特别是,在简化的迷宫网络中,确认O-PS具有与PS相同的最短路径搜索能力,同时能够更快地重塑。本研究提供了一种通过模仿生物机制来优化和动态重塑社交基础设施网络的新方法,能够快速识别在复杂约束下考虑多个目标的解决方案。此外,O-PS中收敛速度随振荡频率的变化表明了响应环境变化的灵活性。需要进一步的研究以开发更有效的重塑策略。
Social infrastructure networks, essential for daily life and economic activities, encompass utilities such as water, electricity, roads, and telecommunications. Dynamic remodeling of these systems is crucial for responding to continuous changes, unexpected events, and increased demand. This study proposes a new dynamic remodeling model inspired by biological mechanisms, focusing on a model based on the chemotaxis of slime molds. Slime molds adapt spontaneously to environmental changes by remodeling through the growth and degeneration of tubes. This capability can be applied to optimizing and dynamic remodeling social infrastructure networks. This study elucidated the chemotactic response characteristics of slime molds using biological experiments. The mold\'s response was observed by considering changes in the concentration of chemicals as environmental changes, confirming that slime molds adapt to environmental changes by shortening their periodic cycles. Subsequently, based on this dynamic response, we propose a new dynamic model (oscillated Physarum solver, O-PS) that extends the existing Physarum solver (PS). Numerical simulations demonstrated that the O-PS possesses rapid and efficient path-remodeling capabilities. In particular, within a simplified maze network, the O-PS was confirmed to have the same shortest-path searching ability as the PS, while being capable of faster remodeling. This study offers a new approach for optimizing and dynamically remodeling social infrastructure networks by mimicking biological mechanisms, enabling the rapid identification of solutions considering multiple objectives under complex constraints. Furthermore, the variation in convergence speed with oscillation frequency in the O-PS suggests flexibility in responding to environmental changes. Further research is required to develop more effective remodeling strategies.