On artificial immune systems and swarm intelligence

被引：39
|
作者：
Timmis, Jon [1 ,2 ]
Andrews, Paul [1 ]
Hart, Emma [3 ]
机构：
[1] Univ York, Dept Comp Sci, York YO10 5DD, N Yorkshire, England
[2] Univ York, Dept Elect, York YO10 5DD, N Yorkshire, England
[3] Edinburgh Napier Univ, Sch Comp, Edinburgh, Midlothian, Scotland
来源：
SWARM INTELLIGENCE | 2010年 / 4卷 / 04期
基金：
英国工程与自然科学研究理事会;
关键词：
Artificial immune systems; Swarm intelligence; Swarm robotics; Immunology; INSPIRED APPROACH; ERROR-DETECTION; INTEGRATION; COMPLEXITY; DYNAMICS; MODEL;
D O I：
10.1007/s11721-010-0045-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This position paper explores the nature and role of two bio-inspired paradigms, namely Artificial Immune Systems (AIS) and Swarm Intelligence (SI). We argue that there are many aspects of AIS that have direct parallels with SI and examine the role of AIS and SI in science and also in engineering, with the primary focus being on the immune system. We explore how in some ways, algorithms from each area are similar, but we also advocate, and explain, that rather than being competitors, AIS and SI are complementary tools and can be used effectively together to solve complex engineering problems.
引用
收藏
页码：247 / 273
页数：27
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