自组织物流执行系统中的仿生协调与控制

J. Van Belle, P. Valckenaers, Bart Saint Germain, Rudi Bahtiar, D. Cattrysse
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引用次数: 7

摘要

在自然界中,复杂的系统从一个简单的开始(通常是单个细胞)发展而来。这种生长过程依赖于环境:细胞从周围环境接收信号,这些信号对其活动有重大影响。这导致了一个成熟的有机体,尽管最初很简单,但它适应了复杂的环境。本文讨论了一个自组织行为受这一自然过程启发的物流执行系统。自组织活动的机制仍然很简单,而研究的重点是提供一个合适的环境来实现和/或保证理想的整体行为和性能。因此,本文提出了一种自组织系统工程的方法。然而,这种方法仅适用于涉及宏观物理资源(如物流、制造、交通)的分配和利用的世界。这种方法不容易应用于以信息为中心的应用程序(例如网格计算、电子商务)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-inspired coordination and control in self-organizing logistic execution systems
In nature, complex systems grow out of a simple start (often a single cell). This growing process is environment-dependent: a cell receives signals from its surroundings, which significantly influence its activities. This results in a mature organism that is adapted to a complex environment in spite of the initial simplicity. This paper discusses a logistic execution system in which the self-organizing behavior is inspired by this natural process. The mechanisms for the self-organizing activities remain simple whereas the research focuses on providing a suitable environment to achieve and/or guarantee the desirable overall behavior and performance. The paper thus presents an approach for the engineering of self-organized systems. This approach however is only applicable when the world-of-interest involves the allocation and utilization of macroscopic physical resources (e.g. logistics, manufacturing, traffic). The approach cannot be readily applied to information-centric applications (e.g. grid computing, e-commerce).
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