Disaster spread simulation and rescue time optimization in a resource network.
To design and verify rescue programs in cases of spread, this study presents a base application for the simulation, and analysis of disaster spread in a complex resource network based on a multi-agent system (MAS). Various yards, warehouses, distribution centers and other storage nodes are typical resource-intensive sites at which catastrophes and disasters, such as fires and chemical leakage, are prone to occur and spread. Resources are stored in block units called resource nodes. Each resource node is represented by an agent in an MAS. A resource network (network of resource storage nodes) is formed from the disaster spread relationships among resource nodes. Disaster spread simulation and rescue time analysis in resource networks are key problems in disaster and relief. Based on the principles of disaster spread in resource networks, a property model of resource nodes is proposed that incorporates the values of the resources, the disastrous energy of each node, the disaster spread path, and the disaster spread characteristics. To study the dynamics of disaster spread, a state diagram is used to construct a microscopic behavior model for the resource nodes by regarding the resource nodes as agents. Then, decision models are gradually constructed to determine the optimal times for disaster rescue and resource preparation. The proposed models are demonstrated using a multi-layer simulation system. [ABSTRACT FROM AUTHOR]/nCopyright of Information Sciences is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Static and dynamic behavioral models of resource nodes, the principles of initiation and spread, models for the of resource networks subject to , and rescue optimization problems were systematically examined.
Simulation
spread paththe spread characteristics
A simulator with three modules was designed: a time-triggered simulator, a simulation mechanism for a finite-state machine, and a network generator.
Simulation
This study investigated an integrated approach based on simulation and optimization to guide decision-making regarding optimal rescue times.
The models, computational approaches and simulation system devised in this study are far from being a practical to address the problems of spread and control in resource networks.The study has not been verified with reference to concrete spread and rescue practice.
The introduction of the MAS-based framework. The MAS-based method provides a general for the study of spread in resource-intensive networks.
The simulation system was developed based on the Multi-agent System (MAS) concept. Simulation of a maritime bulk yard consisting a resource network of 2000 nodes in a grid.
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