Application Areas of AIS: The Past, The Present and The Future

By Emma Hart, J. Timmis. International Conference on Artificial Immune Systems, 2005

441 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Fundamentals of natural computing: an overview (2007, background): “Following the avenues pursued by current research, the main open problems and challenges include to strengthen theoretical developments, to improve existing algorithms and analyze their behavior and performance, to take a deeper look into immunology in the search for a more accurate biological plaus”
Theoretical advances in artificial immune systems (2008, background): “(L(s[2]) ∨ L(s[3]) ∨ · · · ∨ L(s[k + 1])) ∧”
Artificial Immune Systems (2009, neutral): “It has been suggested by [Hart & Timmis 2008] that there will be little benefit from applying AIS algorithms to problems of a static nature, over existing and established paradigms.”
A survey on optimization metaheuristics (2013, background): “There are several reviews of AIS research [127, 287, 263, 128], and a number of books including [64] and [39] covering the field.”
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection (2008, methodology): “Just as Hart and Timmis (2005) said, anyone familiar with the EA literature will recognize all of these features as equally applicable to an EA.”