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A Multi Agent Based Organizational Architecture for Dynamic Pickup and Delivery Problem

机译:基于多Agent的组织结构,用于动态取送问题

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Pickup and Delivery Problem (PDP) consists of searching an optimal set of vehicles and an optimal set of routes, one route by each vehicle, in order to pickup items from a set of origins and deliver them to another set of destinations. Pickup and delivery problem is a class of complex systems whose complexity is NP Hard. In PDP real life applications, heuristics and meta heuristics methods are used in order to obtain an acceptable solution in reasonable execution time. When unpredictable events, like for example path cut and vehicles failure, may occur during the PDP schedule execution, we say that the PDP is dynamic (DPDP) and in this case we have to revise this schedule. In this paper, we propose a multi agent architecture for DPDP based on an organizational architecture. Supported by a formal framework, the proposed architecture allows us to show, through a case study that computed solution for the studied problem could be done in a parallel manner which attenuates substantially the problem complexity.
机译:取件和送达问题(PDP)包括搜索一组最佳的车辆和一组最佳的路线(每辆车一条路线),以便从一组起点取件并将它们传递到另一组目的地。接送问题是一类复杂的系统,其复杂度为NP Hard。在PDP现实生活中,为了在合理的执行时间内获得可接受的解决方案,使用了启发式和元启发式方法。当在PDP计划执行过程中可能发生不可预测的事件(例如路径切割和车辆故障)时,我们说PDP是动态的(DPDP),在这种情况下,我们必须修改此计划。在本文中,我们提出了一种基于组织架构的DPDP多代理架构。在正式框架的支持下,所提出的体系结构使我们能够通过案例研究表明,所研究问题的计算解决方案可以并行方式完成,从而大大降低了问题的复杂性。

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