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An integrated algorithm for multi-agent fault-tolerant scheduling based on MOEA

机译:基于MOEA的多智能体容错调度集成算法

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摘要

With the increasing functionality of multi-agent systems, fault tolerance has become an essential requirement, especially for workflow with interdependencies among tasks. In this paper, we propose a scheme that combines a novel intrinsic-plasticity-inspired rescheduling execution model (IPIREM) with an improved NSGA-III with knee points. The IPIREM provides a relatively stable evaluation without any estimation of the failure distribution when transient failures happen. Based on the evaluation result of IPIREM, the multi-objective optimization problem is solved by use of an improved NSGA-III, which accelerates convergence and promotes diversity. Finally, experimental results show that the proposed algorithm is effective in enhancing efficiency of the workflow. (C) 2018 Elsevier B.V. All rights reserved.
机译:随着多代理系统功能的不断增强,容错已成为一项基本要求,尤其是对于任务之间相互依赖的工作流。在本文中,我们提出了一个方案,该方案结合了新颖的内在可塑性启发式重排执行模型(IPIREM)和带有拐点的改进NSGA-III。当发生瞬时故障时,IPIREM可以提供相对稳定的评估,而无需估计故障分布。根据IPIREM的评估结果,使用改进的NSGA-III解决了多目标优化问题,该问题加速了收敛并促进了多样性。最后,实验结果表明,该算法在提高工作流效率方面是有效的。 (C)2018 Elsevier B.V.保留所有权利。

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