Artificial immune systems as a novel soft computing paradigm
Artificial immune systems as a novel soft computing paradigm
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DOI：
10.1007/s00500-002-0237-z
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发表时间：
2003-08-01
期刊：
影响因子：
4.1
通讯作者：
Timmis, JI
中科院分区：
文献类型：
--
作者：
de Castro, LN;Timmis, JI
人工免疫系统（Artificial Immune Systems，AIS）是指受理论免疫学、观察到的免疫功能、原理和机制的启发，以解决问题为目的的计算系统。它们的发展和应用领域遵循软计算范式，如人工神经网络（ANN），进化算法（EA）和模糊系统（FS）。尽管有一些孤立的努力，AIS领域仍然缺乏一个适当的设计，解释和应用框架。本文提出了一个这样的框架，讨论了AIS作为一种新的软计算范式的适用性，并回顾了文献中将AIS与其他方法相结合的作品，重点是ANN，EA和FS。AIS和其他方法之间的相似性和差异进行了概述。还介绍了如何创建这些范式的混合体的新趋势以及这种混合可能带来的好处。
Artificial immune systems (AIS) can be defined as computational systems inspired by theoretical immunology, observed immune functions, principles and mechanisms in order to solve problems. Their development and application domains follow those of soft computing paradigms such as artificial neural networks (ANN), evolutionary algorithms (EA) and fuzzy systems (FS). Despite some isolated efforts, the field of AIS still lacks an adequate framework for design, interpretation and application. This paper proposes one such framework, discusses the suitability of AIS as a novel soft computing paradigm and reviews those works from the literature that integrate AIS with other approaches, focusing ANN, EA and FS. Similarities and differences between AIS and each of the other approaches are outlined. New trends on how to create hybrids of these paradigms and what could be the benefits of this hybridization are also presented.