6. ICARIS 2007: Santos, Brazil

Search and Optimization

• Leonardo de Mello Honório, Armando M. Leite da Silva, Daniele A. Barbosa:
  A Gradient-Based Artificial Immune System Applied to Optimal Power Flow Problems. 1-12
  
• Nikolaos Nanas, Anne N. De Roeck:
  Multimodal Dynamic Optimization: From Evolutionary Algorithms to Artificial Immune Systems. 13-24
  
• Marcos Zúñiga, María-Cristina Riff, Elizabeth Montero:
  NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems. 25-34
  
• Oscar M. Alonso, Fabio A. González, Fernando Niño, Juan Carlos Galeano:
  A Solution Concept for Artificial Immune Networks: A Coevolutionary Perspective. 35-46
  

Classification and Clustering

• Adriane Beatriz de Souza Serapião, José Ricardo Pelaquim Mendes, Kazuo Miura:
  Artificial Immune Systems for Classification of Petroleum Well Drilling Operations. 47-58
  
• Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa:
  The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks. 59-70
  
• Rodrigo Pasti, Leandro Nunes de Castro:
  The Influence of Diversity in an Immune-Based Algorithm to Train MLP Networks. 71-82
  
• Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben:
  Applying Biclustering to Text Mining: An Immune-Inspired Approach. 83-94
  

Anomaly Detection and Negative Selection

• M. Zubair Shafiq, Muddassar Farooq:
  Defence Against 802.11 DoS Attacks Using Artificial Immune System. 95-106
  
• Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas:
  A Novel Immune Inspired Approach to Fault Detection. 107-118
  
• Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas:
  Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection. 119-130
  
• Rohit Singh, Raghu Nandan Sengupta:
  Bankruptcy Prediction Using Artificial Immune Systems. 131-141
  
• Thomas Stibor:
  Phase Transition and the Computational Complexity of Generating r -Contiguous Detectors. 142-155
  
• Jorge L. M. Amaral, José Franco Machado do Amaral, Ricardo Tanscheit:
  Real-Valued Negative Selection Algorithm with a Quasi-Monte Carlo Genetic Detector Generation. 156-167
  
• Wenjian Luo, Xin Wang, Xufa Wang:
  A Novel Fast Negative Selection Algorithm Enhanced by State Graphs. 168-181
  

Robotics, Control and Electronics

• Jongan Lee, Mootaek Roh, Jinsung Lee, Doheon Lee:
  Clonal Selection Algorithms for 6-DOF PID Control of Autonomous Underwater Vehicles. 182-190
  
• Henry Y. K. Lau, Albert Ko:
  An Immuno Robotic System for Humanitarian Search and Rescue (Application Stream). 191-203
  
• Robert Oates, Julie Greensmith, Uwe Aickelin, Jonathan M. Garibaldi, Graham Kendall:
  The Application of a Dendritic Cell Algorithm to a Robotic Classifier. 204-215
  
• Nick D. L. Owens, Jonathan Timmis, Andrew J. Greensted, Andy M. Tyrrell:
  On Immune Inspired Homeostasis for Electronic Systems. 216-227
  

Modeling Papers

• Johannes Textor, Jürgen Westermann:
  Modeling Migration, Compartmentalization and Exit of Naive T Cells in Lymph Nodes Without Chemotaxis. 228-239
  
• Chris McEwan, Emma Hart, Ben Paechter:
  Revisiting the Central and Peripheral Immune System. 240-251
  
• Emma Hart, Franciso Santos, Hugues Bersini:
  Topological Constraints in the Evolution of Idiotypic Networks. 252-263
  
• Daniel Voigt, Henry Wirth, Werner Dilger:
  A Computational Model for the Cognitive Immune System Theory Based on Learning Classifier Systems. 264-275
  

Conceptual Papers

• William O. Wilson, Phil Birkin, Uwe Aickelin:
  Motif Detection Inspired by Immune Memory. 276-287
  
• Despina Davoudani, Emma Hart, Ben Paechter:
  An Immune-Inspired Approach to Speckled Computing. 288-299
  
• Jamie Twycross, Uwe Aickelin:
  Biological Inspiration for Artificial Immune Systems. 300-311
  
• Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas:
  Regulatory T Cells: Inspiration for Artificial Immune Systems. 312-323
  

Technical Papers and General Applications

• Kiryong Ha, Inho Park, Jeonwoo Lee, Doheon Lee:
  Automated Blog Design System with a Population-Based Artificial Immune Algorithm. 324-335
  
• Peter May, Jon Timmis, Keith Mander:
  Immune and Evolutionary Approaches to Software Mutation Testing. 336-347
  
• Akshat Kumar, Shivashankar B. Nair:
  An Artificial Immune System Based Approach for English Grammar Checking. 348-357
  
• Veysel Aslantas, Saban Ozer, Serkan Ozturk:
  A Novel Clonal Selection Algorithm Based Fragile Watermarking Method. 358-369
  
• Nauman Mazhar, Muddassar Farooq:
  BeeAIS: Artificial Immune System Security for Nature Inspired, MANET Routing Protocol, BeeAdHoc. 370-381
  
• Richard A. Gonçalves, Carolina P. de Almeida, Myriam Regattieri Delgado, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
  A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions. 382-394
  
• Priscila C. Berbert, Leonardo J. R. Freitas Filho, Tiago A. Almeida, Márcia B. Carvalho, Akebo Yamakami:
  Artificial Immune System to Find a Set of k -Spanning Trees with Low Costs and Distinct Topologies. 395-406
  
• Bernardo J. B. Caldas, Marcelo Souza Pita, Fernando Buarque de Lima Neto:
  How to Obtain Appropriate Executive Decisions Using Artificial Immunologic Systems. 407-419
  
• Charles R. Haag, Gary B. Lamont, Paul D. Williams, Gilbert L. Peterson:
  An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions. 420-435
  

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