Artificial Immune Systems 6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Castro, Leandro Nunes de (Επιμελητής έκδοσης), Zuben, Fernando José Von (Επιμελητής έκδοσης), Knidel, Helder (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Lecture Notes in Computer Science, 4628
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Artificial Immune Systems  |h [electronic resource] :  |b 6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007. Proceedings /  |c edited by Leandro Nunes de Castro, Fernando José Von Zuben, Helder Knidel. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2007. 
300 |a XII, 440 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 4628 
505 0 |a 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 Central and 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. 
650 0 |a Computer science. 
650 0 |a Computers. 
650 0 |a Algorithms. 
650 0 |a Data mining. 
650 0 |a Information storage and retrieval. 
650 0 |a Artificial intelligence. 
650 0 |a Bioinformatics. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computation by Abstract Devices. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Computational Biology/Bioinformatics. 
700 1 |a Castro, Leandro Nunes de.  |e editor. 
700 1 |a Zuben, Fernando José Von.  |e editor. 
700 1 |a Knidel, Helder.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540739210 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 4628 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-73922-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (Springer-11645)