A Problem Solver for Scheduling Workflows in Multi-agents Systems Based on Petri Nets

Fu-Shiung Hsieh, Jim-Bon Lin
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Abstract

Workflow scheduling in multi-agent systems (MAS) is a challenging problem due to the computational complexity involved, distributed architecture and dependency of different agents' workflows. How to develop a problem solver that can be applied in MAS to achieve coherent and consistent workflow schedules that can meet a customer's order is an important issue. In this paper, we propose a solution methodology for scheduling workflows in MAS. Our solution combines the multi-agent system architecture, contract net protocol and workflow models specified by Petri nets. Our solution algorithm is developed based on transformation of workflow model to network models. A subgradient algorithm and a heuristic algorithm are applied to find the solutions. A problem solver for workflow scheduling in MAS has been implemented.
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基于Petri网的多智能体系统工作流调度问题求解方法
由于多智能体系统中工作流的计算复杂性、分布式结构和相互依赖性,多智能体系统中的工作流调度是一个具有挑战性的问题。如何开发一个可以应用于MAS的问题解决器来实现符合客户订单的连贯一致的工作流计划是一个重要的问题。在本文中,我们提出了一种在MAS中调度工作流的解决方法。我们的解决方案结合了多智能体系统架构、契约网协议和Petri网指定的工作流模型。我们的求解算法是基于工作流模型到网络模型的转换。采用子梯度算法和启发式算法求解。实现了一个基于MAS的工作流调度问题求解器。
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