一个智能代理系统，支持基于web的多方代理物流

14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. Pub Date : 2002-11-04 DOI:10.1109/TAI.2002.1180800

H. Lau, Yam Guan Goh

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引用次数: 60

摘要

提出了一种基于智能代理的支持Web上第四方物流(4PL)操作的框架。在我们的系统中，客户通过Web动态地指定作业请求。电子市场允许智能第三方物流(3PL)代理竞标客户的工作请求。智能在于电子市场根据一组预先确定的因素(价格、偏好和公平性)最优地决定哪些代理的出价应该得到满足。我们将潜在的代理问题建模为一个集包装问题(SPP)，一个NP-hard优化问题。提出了一种迭代贪心逼近算法求解SPP，实验结果表明，该算法与Chvatal(1979)提出的经典贪心方法相比是有效的。

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An intelligent brokering system to support multi-agent Web-based 4/sup th/-party logistics

An intelligent agent-based framework that supports fourth-party logistics (4PL) operations on the Web is proposed. In our system, customers specify job requests over the Web dynamically. An e-marketplace allows intelligent third-party logistics (3PL) agents to bid for customers' job requests. The intelligence lies in the e-marketplace optimally deciding which agents' bids should be satisfied based on a set of predetermined factors (pricing, preferences and fairness). We model the underlying brokering problem as a set packing problem (SPP), an NP-hard optimization problem. An iterative greedy approximation algorithm is proposed to solve the SPP, and experimental results show its effectiveness against the classical greedy method proposed by Chvatal (1979).

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14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings.

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