Artificial immune optimization methods and applications - a survey

Inspired by natural immune systems, artificial immune systems (AIS) are an emerging kind of computational intelligence paradigm. During the past decade, the AIS have gained great research interest in wide engineering fields. Artificial immune optimization (AIO) methods are an important partner of the AIS. They have been successfully applied to deal with numerous challenging optimization problems with superior performance over classical optimization techniques. This paper gives a concise survey on the recent progresses of the theory as well as applications of the AIO schemes, in which some representative approaches are briefly introduced and discussed.