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Titlebook: Artificial Immune Systems; 9th International Co Emma Hart,Chris McEwan,Andy Hone Conference proceedings 2010 Springer-Verlag Berlin Heidelb

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期刊全称Artificial Immune Systems
期刊简称9th International Co
影响因子2023Emma Hart,Chris McEwan,Andy Hone
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发行地址State-of-the-art research.Fast-track conference proceedings.Unique visibility
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Immune Systems; 9th International Co Emma Hart,Chris McEwan,Andy Hone Conference proceedings 2010 Springer-Verlag Berlin Heidelb
影响因子Arti?cial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology and computation. The original research impetus in AIS had a clear focus on applying immunological principles to c- putationalproblemsinpracticaldomainssuchascomputersecurity,datamining and optimization. As the ?eld has matured, it has diversi?ed such that we now see a growing interest in formalizing the theoretical properties of earlier - proaches, elaborating underlying relationships between applied computational models and those from theoretical immunology, as well a return to the roots of the domain in which the methods of computer science are being applied to - munological modelling problems. Following the trends in the ?eld, the ICARIS conference intends to provide a forum for all these perspectives. The 9th InternationalConference on AIS (ICARIS 2010)built on the success of previous years, providing a convenient vantage point for broader re?ection as it returned to Edinburgh, the venue of the Second ICARIS in 2003. This time, the conference was hosted by Edinburgh Napier University at its Craiglockhart Campus, recently reopened after extensive refurbishment whi
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Clonal Selection from First Principlesn is often interpreted as an asexual variant of natural selection, and thus, tend to be variations on evolutionary strategies. Retro-fitting immunological sophistication and theoretical rigour onto such systems has proved to be unwieldy. In this paper we assert the primacy of . over selection and mu
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Immune Inspired Information Filtering in a High Dimensional Spacee when vector-based representations are adopted in such a space. In this paper, we use AIF as a test bed to provide experimental evidence indicating that the learning abilities of vector-based Artificial Immune Systems are diminished in a high dimensional space.
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On the Benefits of Aging and the Importance of Details by increasing diversity and allowing to restart the search in different parts of the search space. The current theoretical understanding of the details of aging is still very limited. This holds with respect to parameter settings, the relationship of different variants, the specific mechanisms that
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Classifying in the Presence of Uncertainty: A DCA Perspectiveas its current decision making stage has many serious mathematical flaws which bring into question its applicability in other areas. However, previous work has demonstrated that the algorithm has properties which make it robust to a certain source of uncertainty, specifically measurement noise. This
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FDCM: A Fuzzy Dendritic Cell Methode is to smooth the abrupt separation between normality (semi-mature) and abnormality (mature) using fuzzy set theory since we can neither identify a clear boundary between the two contexts nor quantify exactly what is meant by “semi-mature” or “mature”. In this model, the context of each object (DC)
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Modular RADAR: An Immune System Inspired Search and Response Strategy for Distributed Systems by physical space and resource availability. Remarkably, NIS search and response times do not scale appreciably with the physical size of the animal in which its search is conducted. Many distributed systems are engineered to solve analogous problems, and the NIS demonstrates how such engineered sy
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