A Review of Evolutionary Algorithms for E-Commerce

Freitas, Alex A. (2002) A Review of Evolutionary Algorithms for E-Commerce. In: Segovia, J. and Szczepaniak, PS and Niedzwiedzinski, M., eds. E-Commerce and Intelligent Methods. Studies in Fuzziness and Soft Computing. Studies in Fuzziness and Soft Computing, 105 (105). Springer-Verlag, Heidelberg, Berlin, pp. 159-179. ISBN 3-7908-1499-7. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Evolutionary Algorithms (EAs) are adaptive algorithms based on the Darwinian principle of natural selection. Intuitively, their adaptive nature makes them suitable for highly dynamic environments, which is often the case in e-commerce applications. This chapter presents a review of EAs in general. Then it discusses several EAs developed for e-commerce applications, focusing on three kinds of e-commerce related tasks, namely: information retrieval on the web, discovery of negotiation strategies and improvement of web-page presentation.

Item Type: Book section
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:59
Last Modified: 20 May 2014 09:01
Resource URI: https://kar.kent.ac.uk/id/eprint/13683 (The current URI for this page, for reference purposes)
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