Artificial Immune Systems
11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Proceedings
Published on 24. August 2012
Book
Paperback/Softback
XIX, 293 pages
978-3-642-33756-7 (ISBN)
Description
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012.
The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
84 s/w Abbildungen
XIX, 293 p. 84 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
482 gr
ISBN-13
978-3-642-33756-7 (9783642337567)
DOI
10.1007/978-3-642-33757-4
Schweitzer Classification
Other editions
Additional editions
Carlos A. Coello-Coello | Julie Greensmith | Natalio Krasnogor
Artificial Immune Systems
11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Proceedings
E-Book
08/2012
Springer
€53.49
Available for download
Content
Face Recognition by Searching Most Similar Sample with Immune
Learning.- A Multi-Objective Artificial Immune System Based on Hypervolume.- A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data.- Immune-Inspired Self Healing in Wireless Sensor Networks.- A Beginner's Guide to Systems Simulation in Immunology.- Clustering-Based Multi-objective Immune Optimization Evolutionary Algorithm.- Petri Nets Approach to Modeling of Immune System and Autism.- Mathematical Implementation of Interation between Malaria and Immune System.- Computing Longest Common Subsequences with the B-Cell Algorithm.- Bait a Trap: Introducing Natural Killer Cells to Artificial Immune System for Spyware Detection.- AC-CS: An Immune-Inspired Associative Classification Algorithm.- RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithm Based on Rough Set Theory.- Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Exchangers.- A Negative Selection Approach to Intrusion Detection.- Clonal Expansion without Self-replicating Entities.- A Real Time Anomaly Detection System Based on Probabilistic Artificial Immune Systems.- CSA/IE: Novel Clonal Selection Algorithm with Information Exchange
for High Dimensional Global Optimization Problems.- An Ecological Approach to Anomaly Detection: The EIA Model.- Rethinking Concepts of the Dendritic Cell Algorithm for Multiple Data Stream Analysis.- Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm.- Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks.- Distributed Computing with Prokaryotic Immune Systems.- The Immune System as a Metaphor for Topology Driven Patterns
Formation in Complex Systems.