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Type: Journal article
Title: Analysis and design of an agent searching algorithm for e-marketplaces
Author: Leung, C.
Sum, J.
Shen, H.
Wu, J.
Young, G.
Citation: Cluster Computing, 2004; 7(1):85-90
Publisher: Springer New York LLC
Issue Date: 2004
ISSN: 1386-7857
Statement of
Chi Sing Leung, John Pui-fai Sum, Hong Shen, Jie Wu and G. Young
Abstract: 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.
Keywords: e-marketplaces
agent searching
ant algorithm
Description: The original publication is available at
DOI: 10.1023/B:CLUS.0000003945.65015.81
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