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Application areas of AIS: the past, present and future.
Emma Hart,Jon Timmis +1 more
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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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A survey on optimization metaheuristics
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Multiobjective immune algorithm with nondominated neighbor-based selection
TL;DR: The statistical analysis based on three performance metrics show that the unique selection method is effective, and NNIA is an effective algorithm for solving multiobjective optimization problems.
Journal ArticleDOI
Application areas of AIS: The past, the present and the future
Emma Hart,Jonathan Timmis +1 more
TL;DR: This paper attempts to suggest a set of problem features that it believes will allow the true potential of the immunological system to be exploited in computational systems, and define a unique niche for AIS.
Journal ArticleDOI
Theoretical advances in artificial immune systems
TL;DR: The existing theoretical work on AIS is reviewed and details of the theoretical analysis for each of the three main types of AIS algorithm, clonal selection, immune network and negative selection, are given.
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Fundamentals of natural computing: an overview
TL;DR: This paper provides an overview of the fundamentals of natural computing, particularly the fields listed above, emphasizing the biological motivation, some design principles, their scope of applications, current research trends and open problems.
References
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