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

last updated on Wed May 22 04:33:33 2013 by the dblp team
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