By Tao Gong (auth.), Carlos A. Coello Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone (eds.)

This ebook constitutes the refereed complaints of the eleventh foreign convention on synthetic Immune structures, ICARIS 2012, held in Taormia, Italy, in August 2012. the nineteen revised chosen papers provided have been conscientiously reviewed and chosen for inclusion during this publication. additionally four papers of the workshop on bio and immune encouraged algorithms and versions for multi-level advanced platforms are integrated during this quantity. synthetic immune structures (AIS) is a various and maturing quarter of study that bridges the disciplines of immunology, biology, clinical technology, computing device technology, physics, arithmetic and engineering. The scope of AIS levels from modelling and simulation of the immune method via to immune-inspired algorithms and in silico, in vitro and in vivo solutions.

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Additional resources for Artificial Immune Systems: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012. Proceedings

Example text

Define Affinity for antibodies and antigens. Defining affinity on antibodies: For each antibody, select randomly one antigen in Ag. The affinity value of an antibody Ab is defined by its euclidean distance to the selected antigen Ag. Defining affinity on antigens: For each antigen, the affinity is based on its hypervolume contribution: The algorithm that computes the hypervolume contribution is shown in Algorithm 2. For both antibodies and antigens, the greater the affinity, the better. 5. Clonal selection principle Most of the population-based algorithms don’t discard dominated individuals when selecting solutions to be cloned or mutated.

In order to fit to the immune system metaphor, one can consider here that if the main population already contains a certain number of antigens, it means that the immune system has already recognized some pathogen agents and it will use them to perform the cloning process (the antibody which reached the pathogen agent and is now considered as an antigen). The number of clones is usually defined as about 20% of the population. Nevertheless, a more thorough statistical analysis is still required and for now, we adopt a user-defined parameter to control the number of candidates.

13] according to which we can distinguish three types of substrings given a training set S, namely unseen, seen-rare, and seen-frequent substrings. First, note that negative selection algorithms are based only on unseen strings and do not distinguish at all between rare and frequently seen strings. In contrast, the t-STIDE, FSA, and FSA-z techniques do all assess the frequency of seen strings.

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