Communications of the ACM
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Coverage and Generalization in an Artificial Immune System
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Exploiting the Analogy between the Immune System and Sparse Distributed Memories
Genetic Programming and Evolvable Machines
Is negative selection appropriate for anomaly detection?
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
A formal framework for positive and negative detection schemes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Application areas of AIS: The past, the present and the future
Applied Soft Computing
AISIID: An artificial immune system for interesting information discovery on the web
Applied Soft Computing
Multiobjective immune algorithm with nondominated neighbor-based selection
Evolutionary Computation
Negative Selection with Antigen Feedback in Intrusion Detection
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Expert Systems with Applications: An International Journal
Information fusion in the immune system
Information Fusion
Use of kernel functions in artificial immune systems for the nonlinear classification problems
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Revisiting the central and peripheral immune system
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
An immune-inspired approach to speckled computing
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Biological inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Regulatory T cells: inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
A Survey of artificial immune applications
Artificial Intelligence Review
Fault detection in analog circuits using a fuzzy dendritic cell algorithm
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
The danger theory applied to vegetal image pattern classification
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
A computational model of degeneracy in a lymph node
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Theoretical basis of novelty detection in time series using negative selection algorithms
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Innate and adaptive principles for an artificial immune system
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
A bio-inspired approach for self-protecting an organic middleware with artificial antibodies
IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
MINIMIZING OPERATIONAL COST USING ARTIFICIAL IMMUNE ALGORITHM
Journal of Integrated Design & Process Science
| Hi-index | 0.00 |
After a decade of research into the area of Artificial Immune Systems, it is worthwhile to take a step back and reflect on the contributions that the paradigm has brought to the application areas to which it has been applied. Undeniably, there have been a lot of successful stories — however, if the field is to advance in the future and really carve out its own distinctive niche, then it is necessary to be able to illustrate that there are clear benefits to be obtained by applying this paradigm rather than others. This paper attempts to take stock of the application areas that have been tackled in the past, and ask the difficult question “was it worth it ?”. We then attempt to suggest a set of problem features that we believe will allow the true potential of the immunological system to be exploited in computational systems, and define a unique niche for AIS.