6. ICARIS 2007: Santos, Brazil

Leandro Nunes de Castro, Fernando J. Von Zuben, Helder Knidel (Eds.): Artificial Immune Systems, 6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007, Proceedings. Lecture Notes in Computer Science 4628 Springer 2007, ISBN 978-3-540-73921-0 BibTeX

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
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Nikolaos Nanas, Anne N. De Roeck:
Multimodal Dynamic Optimization: From Evolutionary Algorithms to Artificial Immune Systems. 13-24
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Marcos Zuniga, María-Cristina Riff, Elizabeth Montero:
NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems. 25-34
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Oscar M. Alonso, Fabio A. González, Fernando Niño, Juan Carlos Galeano:
A Solution Concept for Artificial Immune Networks: A Coevolutionary Perspective. 35-46
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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
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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
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Rodrigo Pasti, Leandro Nunes de Castro:
The Influence of Diversity in an Immune-Based Algorithm to Train MLP Networks. 71-82
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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
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Anomaly Detection and Negative Selection

M. Zubair Shafiq, Muddassar Farooq:
Defence Against 802.11 DoS Attacks Using Artificial Immune System. 95-106
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Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas:
A Novel Immune Inspired Approach to Fault Detection. 107-118
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Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas:
Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection. 119-130
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Rohit Singh, Raghu Nandan Sengupta:
Bankruptcy Prediction Using Artificial Immune Systems. 131-141
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Thomas Stibor:
Phase Transition and the Computational Complexity of Generating r -Contiguous Detectors. 142-155
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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
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Wenjian Luo, Xin Wang, Xufa Wang:
A Novel Fast Negative Selection Algorithm Enhanced by State Graphs. 168-181
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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
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Henry Y. K. Lau, Albert Ko:
An Immuno Robotic System for Humanitarian Search and Rescue (Application Stream). 191-203
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Robert Oates, Julie Greensmith, Uwe Aickelin, Jonathan M. Garibaldi, Graham Kendall:
The Application of a Dendritic Cell Algorithm to a Robotic Classifier. 204-215
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Nick D. L. Owens, Jonathan Timmis, Andrew J. Greensted, Andy M. Tyrrell:
On Immune Inspired Homeostasis for Electronic Systems. 216-227
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Modeling Papers

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

William O. Wilson, Phil Birkin, Uwe Aickelin:
Motif Detection Inspired by Immune Memory. 276-287
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Despina Davoudani, Emma Hart, Ben Paechter:
An Immune-Inspired Approach to Speckled Computing. 288-299
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Jamie Twycross, Uwe Aickelin:
Biological Inspiration for Artificial Immune Systems. 300-311
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Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas:
Regulatory T Cells: Inspiration for Artificial Immune Systems. 312-323
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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
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Peter May, Jon Timmis, Keith Mander:
Immune and Evolutionary Approaches to Software Mutation Testing. 336-347
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Akshat Kumar, Shivashankar B. Nair:
An Artificial Immune System Based Approach for English Grammar Checking. 348-357
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Veysel Aslantas, Saban Ozer, Serkan Ozturk:
A Novel Clonal Selection Algorithm Based Fragile Watermarking Method. 358-369
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Nauman Mazhar, Muddassar Farooq:
BeeAIS: Artificial Immune System Security for Nature Inspired, MANET Routing Protocol, BeeAdHoc. 370-381
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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
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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
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Bernardo Caldas, Marcelo Souza Pita, Fernando Buarque de Lima Neto:
How to Obtain Appropriate Executive Decisions Using Artificial Immunologic Systems. 407-419
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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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