A Survey of artificial immune applications

  • Authors:
  • Jieqiong Zheng;Yunfang Chen;Wei Zhang

  • Affiliations:
  • College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China 210003 and E-Learning Lab, Shanghai Jiao Tong University, Shanghai, China 200000;College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China 210003;College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China 210003

  • Venue:
  • Artificial Intelligence Review
  • Year:
  • 2010

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Abstract

The artificial immune system (AIS) community has been vibrant and active for a number of years now, producing a prolific amount of research ranging from modeling the natural immune system, to tackling real world applications, using an equally diverse set of immune inspired algorithms. We review the current immune applications of the AIS approach, and propose a number of suggestions to the AIS community that can be undertaken to help move the area forward. Despite many successes of AIS techniques, there remain some open issues which have to be addressed in order to make the AIS a real-world problem solving technique.