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Authors: Qin Liao and Zhonghua Tang

Affiliation: School of Mathematical Science, South China University of Technology, China

Keyword(s): Interval Genetic Algorithm, Optimal Control, E-Business Income.

Related Ontology Subjects/Areas/Topics: e-Business and e-Commerce ; Society, e-Business and e-Government ; Web Information Systems and Technologies

Abstract: In order to control the E-Business income, the relationship between 9 influencing factors and 3 controlling objectives is built by neural network. Then an interval genetic algorithm of multi-objective (IGAMO) is proposed to obtain the satisfactory interval solution instead of a single point solution provided by traditional algorithm. The IGAMO is constructed with 2-step genetic algorithm to find expending intervals satisfying the multiple income objectives, thus we gain the control conditions for influencing factors to make the income indexes fall in the anticipant intervals. The optimal control of E-Business income is proved to be feasible according to the analysis of the data collected from example e-Business enterprises of Guangzhou.

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Paper citation in several formats:
Liao, Q. and Tang, Z. (2007). OPTIMIZATION CONTROL OF E-BUSINESS INCOME BASING ON INTERVAL GENETIC ALGORITHM OF MULTI-OBJECTIVE. In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST; ISBN 978-972-8865-79-5; ISSN 2184-3252, SciTePress, pages 200-203. DOI: 10.5220/0001264502000203

@conference{webist07,
author={Qin Liao. and Zhonghua Tang.},
title={OPTIMIZATION CONTROL OF E-BUSINESS INCOME BASING ON INTERVAL GENETIC ALGORITHM OF MULTI-OBJECTIVE},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST},
year={2007},
pages={200-203},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001264502000203},
isbn={978-972-8865-79-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST
TI - OPTIMIZATION CONTROL OF E-BUSINESS INCOME BASING ON INTERVAL GENETIC ALGORITHM OF MULTI-OBJECTIVE
SN - 978-972-8865-79-5
IS - 2184-3252
AU - Liao, Q.
AU - Tang, Z.
PY - 2007
SP - 200
EP - 203
DO - 10.5220/0001264502000203
PB - SciTePress