Skip to main content
SpringerLink
Log in

Artificial Immune Systems

9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010, Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Emma Hart

    1. Centre for Emergent Computing, Napier University, Edinburgh, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Chris McEwan

    1. Centre for Emergent Computing, Napier University, Edinburgh, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Jon Timmis

    1. Departments of Computer Science and Electronics, University of York, Heslington, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Andy Hone

    1. School of Mathematics, Statistics and Actuarial Science, University of Kent, Kent, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • State-of-the-art research
  • Fast-track conference proceedings
  • Unique visibility

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6209)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICARIS 2010.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 64.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (32 papers)

  1. Front Matter

    Download chapter PDF

  2. Immune System Modelling

    1. A Petri Net Model of Granulomatous Inflammation

      • Luca Albergante, Jon Timmis, Paul Andrews, Lynette Beattie, Paul M. Kaye
      Pages 1-3

    2. Defining a Simulation Strategy for Cancer Immunocompetence

      • Grazziela P. Figueredo, Uwe Aickelin
      Pages 4-17

  3. Theoretical Artificial Immune Systems

    1. Clonal Selection from First Principles

      • Chris McEwan, Emma Hart
      Pages 18-32

    2. Density Preservation and Vector Quantization in Immune-Inspired Algorithms

      • Alisson G. Azzolini, Ricardo P. V. Violato, Fernando J. Von Zuben
      Pages 33-46

    3. Immune Inspired Information Filtering in a High Dimensional Space

      • Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis, Elias Houstis
      Pages 47-60

    4. On the Benefits of Aging and the Importance of Details

      • Thomas Jansen, Christine Zarges
      Pages 61-74

    5. Classifying in the Presence of Uncertainty: A DCA Perspective

      • Robert Oates, Graham Kendall, Jonathan M. Garibaldi
      Pages 75-87

    6. Insights into the Antigen Sampling Component of the Dendritic Cell Algorithm

      • Chris. J. Musselle
      Pages 88-101

    7. FDCM: A Fuzzy Dendritic Cell Method

      • Zeineb Chelly, Zied Elouedi
      Pages 102-115

    8. Modular RADAR: An Immune System Inspired Search and Response Strategy for Distributed Systems

      • Soumya Banerjee, Melanie Moses
      Pages 116-129

  4. Applied Artificial Immune Systems

    1. A Faster Clonal Selection Algorithm for Expensive Optimization Problems

      • Heder S. Bernardino, Helio J. C. Barbosa, Leonardo G. Fonseca
      Pages 130-143

    2. An Information-Theoretic Approach for Clonal Selection Algorithms

      • Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Giovanni Stracquadanio
      Pages 144-157

    3. Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets

      • Ricardo P. V. Violato, Alisson G. Azzolini, Fernando J. Von Zuben
      Pages 158-170

    4. GAIS: A Gaussian Artificial Immune System for Continuous Optimization

      • Pablo A. D. Castro, Fernando J. Von Zuben
      Pages 171-184

    5. An Immune Algorithm for Minimum Interference Channel Assignment in Multi-radio Wireless Mesh Networks

      • Su-Wei Tan
      Pages 185-198

    6. A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Systems

      • Yang Liu, Jon Timmis, Omer Qadir, Gianluca Tempesti, Andy Tyrrell
      Pages 199-212

    7. An Immunological Algorithm for Doping Profile Optimization in Semiconductors Design

      • Giovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia
      Pages 213-222

    8. QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning

      • Wei Pang, George M. Coghill
      Pages 223-236

    9. Biomedical Article Classification Using an Agent-Based Model of T-Cell Cross-Regulation

      • Alaa Abi-Haidar, Luis M. Rocha
      Pages 237-249
Back to top

Other volumes

  1. Artificial Immune Systems

Keywords

About this book

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 which has resulted in a stunning building and state-of-the-art facilities. The extent to which the ?eld has matured over the preceding years is clear; a substantial track of theor- ical research now underpins the discipline. The applied stream has expanded in its outlook, and has examples of AIS algorithms being applied across a wide spectrum of practicalproblems,rangingfrom sensornetworksto semi-conductor design.

Editors and Affiliations

  • Centre for Emergent Computing, Napier University, Edinburgh, UK

    Emma Hart, Chris McEwan

  • Departments of Computer Science and Electronics, University of York, Heslington, UK

    Jon Timmis

  • School of Mathematics, Statistics and Actuarial Science, University of Kent, Kent, UK

    Andy Hone

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation