Open Access

Authors: Abdel-Badeeh M. Salem , Mona Saad Khalil Morgan

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Abstract: Intelligent Bio-inspired Computing (IBioC) has emerged as a powerful paradigm in e-Science. BioC is a sub area of research of artificial intelligence technologies. IBioC provides both of software and knowledge engineers a robust methodologies and techniques to develop smart applications for e-government tasks. This paper explores the different IBioC paradigms used in developing smart e- business systems. Our analysis includes the following biological paradigms; artificial neural networks, genetic algorithms, support vector machines, and swarm intelligence. The results prove that, e-business systems based on the Bio-inspired computing approaches are characterized by smart behavior , such as high efficiency, reasoning and learning abilities, from the knowledge engineering and computing perspective.

Keywords: Bio-inspired Computing, artificial neural networks, genetic algorithms, support vector machines, swarm intelligence, e- business, artificial intelligence, knowledge engineering

Cite this paper

Abdel-Badeeh M. Salem, Mona Saad Khalil Morgan. (2017) Exploiting the Intelligent Bio-inspired Computing (IBioC) for e-Business. International Journal of Economics and Management Systems, 2 , 342-349

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Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0