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Artificial Immune Systems

6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007, Proceedings

  • Conference proceedings
  • © 2007

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Editors:
  1. Leandro Nunes Castro
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  2. Fernando José Zuben
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  3. Helder Knidel
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4628)

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

Included in the following conference series:

Conference proceedings info: ICARIS 2007.

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Table of contents (36 papers)

  1. Front Matter

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  2. Search and Optimization

    1. A Gradient-Based Artificial Immune System Applied to Optimal Power Flow Problems

      • Leonardo de Mello Honório, Armando M. Leite da Silva, Daniele A. Barbosa
      Pages 1-12

    2. Multimodal Dynamic Optimization: From Evolutionary Algorithms to Artificial Immune Systems

      • Nikolaos Nanas, Anne De Roeck
      Pages 13-24

    3. NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems

      • Marcos Zuñiga, María-Cristina Riff, Elizabeth Montero
      Pages 25-34

    4. A Solution Concept for Artificial Immune Networks: A Coevolutionary Perspective

      • Oscar Alonso, Fabio A. Gonzalez, Fernando Niño, Juan Galeano
      Pages 35-46

  3. Classification and Clustering

    1. Artificial Immune Systems for Classification of Petroleum Well Drilling Operations

      • Adriane B. S. Serapião, José R. P. Mendes, Kazuo Miura
      Pages 47-58

    2. The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks

      • Grazziela P. Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa
      Pages 59-70

    3. The Influence of Diversity in an Immune–Based Algorithm to Train MLP Networks

      • Rodrigo Pasti, Leandro Nunes de Castro
      Pages 71-82

    4. Applying Biclustering to Text Mining: An Immune-Inspired Approach

      • Pablo A. D. de Castro, Fabrício O. de França, Hamilton M. Ferreira, Fernando J. Von Zuben
      Pages 83-94

  4. Anomaly Detection and Negative Selection

    1. Defence Against 802.11 DoS Attacks Using Artificial Immune System

      • M. Zubair Shafiq, Muddassar Farooq
      Pages 95-106

    2. A Novel Immune Inspired Approach to Fault Detection

      • T. S. Guzella, T. A. Mota-Santos, W. M. Caminhas
      Pages 107-118

    3. Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection

      • T. S. Guzella, T. A. Mota-Santos, W. M. Caminhas
      Pages 119-130

    4. Bankruptcy Prediction Using Artificial Immune Systems

      • Rohit Singh, Raghu Nandan Sengupta
      Pages 131-141

    5. Phase Transition and the Computational Complexity of Generating r-Contiguous Detectors

      • Thomas Stibor
      Pages 142-155

    6. Real-Valued Negative Selection Algorithm with a Quasi-Monte Carlo Genetic Detector Generation

      • Jorge L. M. Amaral, José F. M. Amaral, Ricardo Tanscheit
      Pages 156-167

    7. A Novel Fast Negative Selection Algorithm Enhanced by State Graphs

      • Wenjian Luo, Xin Wang, Xufa Wang
      Pages 168-181

  5. Robotics, Control and Electronics

    1. Clonal Selection Algorithms for 6-DOF PID Control of Autonomous Underwater Vehicles

      • Jongan Lee, Mootaek Roh, Jinsung Lee, Doheon Lee
      Pages 182-190

    2. An Immuno Robotic System for Humanitarian Search and Rescue (Application Stream)

      • Henry Y. K. Lau, Albert Ko
      Pages 191-203

    3. The Application of a Dendritic Cell Algorithm to a Robotic Classifier

      • Robert Oates, Julie Greensmith, Uwe Aickelin, Jonathan Garibaldi, Graham Kendall
      Pages 204-215

    4. On Immune Inspired Homeostasis for Electronic Systems

      • Nick D. Owens, Jon Timmis, Andrew J. Greensted, Andy M. Tyrell
      Pages 216-227
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