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Application areas of AIS: the past, present and future.
Emma Hart,Jon Timmis +1 more
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TLDR
In this paper, the authors take a step back and reflect on the contributions that the Artificial Immune Systems (AIS) has brought to the application areas to which it has been applied, and suggest a set of problem features that they believe will allow the true potential of the immunological system to be exploited in computational systems.Abstract:
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 AISread more
Citations
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Lamarckian learning in clonal selection algorithm for numerical optimization
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A new module partition method based on the criterion and noise functions of robust design
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An r-dominance-based preference multi-objective optimization for many-objective optimization
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Intelligent optimal selection of garment sizes by using immune algorithm and AHP method
Y. S. Ding,Y. C. Xu +1 more
TL;DR: A framework for intelligent optimal selection method of garment sizes based on Immune Algorithm and Analytic Hierarchy Process is presented and shows that IAAHP-based method forelligent optimal size selection outperforms both traditional experience-based judging and AHP methods.
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A self-adaptive fault-tolerant systems for a dependable Wireless Sensor Networks
TL;DR: An immune-inspired algorithm is proposed that provides a level of “self-healing” in the network, through a combined process of self-detection, self-diagnosis and self-recovery and the Immune-inspired Detection and Recovery Systems (IDRS) is presented.
References
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