Analysis and Design of an Agent Searching Algorithm for e-Marketplaces

被引：0
|
作者：
Chi Sing Leung
John Pui-fai Sum
Hong Shen
Jie Wu
G. Young
机构：
[1] City University of Hong Kong,Department of Electronic Engineering
[2] Hong Kong Polytechnic University,Department of Computing
[3] Japan Advanced Institute of Science and Technology,Graduate School of Information Science
[4] Florida Atlantic University,Department of Computer Science and Engineering
[5] CAL POLY,Department of Computer Science
来源：
Cluster Computing | 2004年 / 7卷 / 1期
关键词：
e-marketplaces; agent searching; ant algorithm;
D O I：
10.1023/B:CLUS.0000003945.65015.81
中图分类号：
学科分类号：
摘要：
Recently, agent techniques in electronic marketplaces (e-marketplaces) bring B-to-B trading into a new era. However, not much analysis on the behavior of agents has been reported. In this paper, based on the ant algorithm in network routing, we introduce a jumping (searching) model for agents in an e-marketplace network. However, we should be aware that if there are too many agents in the e-marketplace network, they will use up all communication bandwidth and computing resource. It is inevitable to investigate the behavior of agents, such as agent population. Based on the existing results in the ant algorithm in network routing, we present the behavior of agents in an e-marketplace network. Hence, we can control the agent population by setting the appropriate agent generation rate.
引用
收藏
页码：85 / 90
页数：5
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