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Recent advances in the artificial endocrine system

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Abstract

The artificial endocrine system (AES) is a new branch of natural computing which uses ideas and takes inspiration from the information processing mechanisms contained in the mammalian endocrine system. It is a fast growing research field in which a variety of new theoretical models and technical methods have been studied for dealing with complex and significant problems. An overview of some recent advances in AES modeling and its applications is provided in this paper, based on the major and latest works. This review covers theoretical modeling, combinations of algorithms, and typical application fields. A number of challenges that can be undertaken to help move the field forward are discussed according to the current state of the AES approach.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China

    Qing-zheng Xu & Lei Wang

  2. Xi’an Communication Institute, Xi’an, 710106, China

    Qing-zheng Xu

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Correspondence to Qing-zheng Xu.

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Project supported by the National Natural Science Foundation of China (Nos. 60802056 and 61073091), the Natural Science Foundation of Shaanxi Province, China (No. 2010JM8028), and the Foundation of Excellent Doctoral Dissertation of Xi’an University of Technology, China (No. 105-211010)

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Xu, Qz., Wang, L. Recent advances in the artificial endocrine system. J. Zhejiang Univ. - Sci. C 12, 171–183 (2011). https://doi.org/10.1631/jzus.C1000044

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