A survey of the dendritic cell algorithm

作     者：Chelly, Zeineb Elouedi, Zied 

作者机构：Univ Tunis Inst Super Gest Tunis LARODEC Dept Comp Sci Tunis Tunisia 

出 版 物：《KNOWLEDGE AND INFORMATION SYSTEMS》 (知识和信息系统季刊)

年 卷 期：2016年第48卷第3期

页      面：505-535页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0701[理学-数学] 071101[理学-系统理论] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Evolutionary computing Dendritic cell algorithm Survey Classification Hybrid algorithms 

摘      要：The dendritic cell algorithm (DCA) is a classification algorithm based on the functioning of natural immune dendritic cells. Recently, the DCA has caught the attention of researchers due to its worthy characteristics as it exhibits several interesting and potentially beneficial features for binary classification problems. Although the studies related with the DCA are increasingly becoming popular giving rise to several DCA hybrid algorithms, according to our best knowledge, there is no study summarizing the basic features of these algorithms nor their application areas all in one paper. Therefore, this study aims at summarizing the powerful characteristics of the DCA as well as making a general review of it. In addition, the DCA hybrid algorithms are reviewed and open research areas are discussed for further research.