基于模糊偏好进化算法的上下文感知电子工作流组合

Hongbin Sun, Yongsheng Ding
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引用次数: 1

摘要

本文介绍了一种新的基于上下文感知的偏好方法及其在电子工作流合成中的应用。基于语义协商的移动代理进化实现了电子工作流的组合。移动代理使用投影连接闭包捕获这种消息情况,将电子工作流组合的优化转化为具有QoS全局优化的动态服务选择。我们提出了一种模糊偏好进化算法来解决这一问题。仿真结果表明,该方法能显著提高系统性能。它能很好地适应不确定性环境的变化
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A context-aware E-workflow composition based on fuzzy preferences evolutionary algorithm
The paper describes a new preference method and its use in E-workflow composition based on context-aware. The E-workflow composition is achieved by the evolution of the mobile agent based on the semantic negotiation. The mobile agent use projection-join closure to capture such message situations, the optimization of the E-workflow composition is translated into dynamic services selection with QoS global optimization. We propose a fuzzy preferences evolutionary algorithm to resolve it. The simulation results show that the approach can significantly improve the performance. It adapts well to the changes of uncertainty environments
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