Castro / Knidel / Von Zuben | Artificial Immune Systems | Buch | 978-3-540-73921-0 | sack.de

Buch, Englisch, Band 4628, 440 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 680 g

Reihe: Lecture Notes in Computer Science

Castro / Knidel / Von Zuben

Artificial Immune Systems

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

Buch, Englisch, Band 4628, 440 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 680 g

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-540-73921-0
Verlag: Springer Berlin Heidelberg


This book constitutes the refereed proceedings of the 6th International Conference on Artificial Immune Systems, ICARIS 2007, held in Santos, Brazil, August 2007. The papers are organized in topical sections on search and optimization, classification and clustering, anomaly detection and negative selection, robotics, control and electronics. Modeling papers, conceptual papers, and technical papers and general applications are also included.
Castro / Knidel / Von Zuben Artificial Immune Systems jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Search and Optimization.- A Gradient-Based Artificial Immune System Applied to Optimal Power Flow Problems.- Multimodal Dynamic Optimization: From Evolutionary Algorithms to Artificial Immune Systems.- NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems.- A Solution Concept for Artificial Immune Networks: A Coevolutionary Perspective.- Classification and Clustering.- Artificial Immune Systems for Classification of Petroleum Well Drilling Operations.- The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks.- The Influence of Diversity in an Immune–Based Algorithm to Train MLP Networks.- Applying Biclustering to Text Mining: An Immune-Inspired Approach.- Anomaly Detection and Negative Selection.- Defence Against 802.11 DoS Attacks Using Artificial Immune System.- A Novel Immune Inspired Approach to Fault Detection.- Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection.- Bankruptcy Prediction Using Artificial Immune Systems.- Phase Transition and the Computational Complexity of Generating r-Contiguous Detectors.- Real-Valued Negative Selection Algorithm with a Quasi-Monte Carlo Genetic Detector Generation.- A Novel Fast Negative Selection Algorithm Enhanced by State Graphs.- Robotics, Control and Electronics.- Clonal Selection Algorithms for 6-DOF PID Control of Autonomous Underwater Vehicles.- An Immuno Robotic System for Humanitarian Search and Rescue (Application Stream).- The Application of a Dendritic Cell Algorithm to a Robotic Classifier.- On Immune Inspired Homeostasis for Electronic Systems.- Modeling Papers.- Modeling Migration, Compartmentalization and Exit of Naive T Cells in Lymph Nodes Without Chemotaxis.- Revisiting the Centraland Peripheral Immune System.- Topological Constraints in the Evolution of Idiotypic Networks.- A Computational Model for the Cognitive Immune System Theory Based on Learning Classifier Systems.- Conceptual Papers.- Motif Detection Inspired by Immune Memory.- An Immune-Inspired Approach to Speckled Computing.- Biological Inspiration for Artificial Immune Systems.- Regulatory T Cells: Inspiration for Artificial Immune Systems.- Technical Papers and General Applications.- Automated Blog Design System with a Population-Based Artificial Immune Algorithm.- Immune and Evolutionary Approaches to Software Mutation Testing.- An Artificial Immune System Based Approach for English Grammar Checking.- A Novel Clonal Selection Algorithm Based Fragile Watermarking Method.- BeeAIS: Artificial Immune System Security for Nature Inspired, MANET Routing Protocol, BeeAdHoc.- A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions.- Artificial Immune System to Find a Set of k-Spanning Trees with Low Costs and Distinct Topologies.- How to Obtain Appropriate Executive Decisions Using Artificial Immunologic Systems.- An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.