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Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (3): 171-183    DOI: 10.1631/jzus.C1000044
    
Recent advances in the artificial endocrine system
Qing-zheng Xu*,1,2, Lei Wang1
1 School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China 2 Xi'an Communication Institute, Xi'an 710106, China
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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.

Key words： Artificial endocrine system (AES)      Hormone      Endocrine cell      Artificial neural network (ANN)      Artificial immune system (AIS)     
Received: 02 March 2010      Published: 09 March 2011
CLC:  TP391  
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Qing-zheng Xu, Lei Wang. Recent advances in the artificial endocrine system. Front. Inform. Technol. Electron. Eng., 2011, 12(3): 171-183.

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http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1000044     OR     http://www.zjujournals.com/xueshu/fitee/Y2011/V12/I3/171


Recent advances in the artificial endocrine system

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.

关键词： Artificial endocrine system (AES),  Hormone,  Endocrine cell,  Artificial neural network (ANN),  Artificial immune system (AIS) 
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