Theoretical advances in artificial immune systems
Theoretical advances in artificial immune systems
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DOI：
10.1016/j.tcs.2008.02.011
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发表时间：
2008-08-20
影响因子：
1.1
通讯作者：
Clark, E.
中科院分区：
文献类型：
--
作者：
Timmis, J.;Hone, A.;Clark, E.
人工免疫系统（AIS）是生物启发计算的一个相对较新的领域。自然免疫系统的生物学模型，特别是克隆选择、免疫网络和负选择理论，为Cor AIS算法提供了灵感。此外，这样的算法已经成功地应用于各种不同的应用领域。然而，尽管这些实际的成功，直到最近一直缺乏理论来证明他们的使用。本文对AIS现有的理论工作进行了综述。在介绍了AIS算法的三种主要类型（克隆选择算法、免疫网络算法和否定选择算法）的一个简单例子之后，对每种算法进行了详细的理论分析。报告还强调了这一领域今后的一些挑战。(C)2008 Elsevier B.V.保留所有权利。
Artificial immune systems (AIS) constitute a relatively new area of bio-inspired computing. Biological models of the natural immune system, in particular the theories of clonal selection, immune networks and negative selection, have provided the inspiration Cor AIS algorithms. Moreover, such algorithms have been successfully employed in a wide variety of different application areas. However, despite these practical successes, until recently there has been a dearth of theory to justify their Use. In this paper, the existing theoretical work oil AIS is reviewed. After the presentation of a simple example of each of the three main types of AIS algorithm (that is, clonal selection, immune network and negative selection algorithms respectively), details of the theoretical analysis for each of these types are given. Some of the future challenges in this area are also highlighted. (C) 2008 Elsevier B.V. All rights reserved.