Journal ArticleDOI
Application areas of AIS: The past, the present and the future
Emma Hart,Jonathan Timmis +1 more
- Vol. 8, Iss: 1, pp 191-201
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TLDR
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.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 AIS.read more
Citations
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Journal ArticleDOI
A survey on optimization metaheuristics
TL;DR: The components and concepts that are used in various metaheuristics are outlined in order to analyze their similarities and differences and the classification adopted in this paper differentiates between single solution based metaheURistics and population based meta heuristics.
Book
Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques
Edmund K. Burke,Graham Kendall +1 more
TL;DR: The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition.
Journal ArticleDOI
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
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
TL;DR: A survey of the major works in the AIS field explores up-to-date advances in applied AIS during the last few years and reveals that recent research is centered on four major AIS algorithms: negative selection algorithms; artificial immune networks; clonal selection algorithm; Danger Theory and dendritic cell algorithms.
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.
References
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