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. (doi:10.1007/978-3-7908-1779-9_10) (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) (KAR id:13683)

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.
Official URL: https://doi.org/10.1007/978-3-7908-1779-9_10

Abstract

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
DOI/Identification number:	10.1007/978-3-7908-1779-9_10
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Mark Wheadon
Date Deposited:	24 Nov 2008 17:59 UTC
Last Modified:	05 Nov 2024 09:47 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/13683 (The current URI for this page, for reference purposes)

University of Kent Author Information

Freitas, Alex A..

Creator's ORCID:	https://orcid.org/0000-0001-9825-4700
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