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» On the Convergence of Immune Algorithms
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ICARIS
2004
Springer
14 years 25 days ago
Immune System Approaches to Intrusion Detection - A Review
The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. Firstly, the human immune system provides the human body with a high level of ...
Uwe Aickelin, Julie Greensmith, Jamie Twycross
SWARM
2010
SPRINGER
178views Optimization» more  SWARM 2010»
13 years 2 months ago
On artificial immune systems and swarm intelligence
Abstract 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...
Jon Timmis, Paul S. Andrews, Emma Hart
ICARIS
2007
Springer
14 years 1 months ago
Immune and Evolutionary Approaches to Software Mutation Testing
We present an Immune Inspired Algorithm, based on CLONALG, for software test data evolution. Generated tests are evaluated using the mutation testing adequacy criteria, and used to...
Peter May, Jon Timmis, Keith Mander
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
14 years 1 months ago
An artificial immune system with partially specified antibodies
Artificial Immune System algorithms use antibodies which fully specify the solution of an optimization, learning, or pattern recognition problem. By being restricted to fully spec...
Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jal...
NIPS
2008
13 years 9 months ago
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
Andrew Smith, Xiaoming Huo, Hongyuan Zha