000 | 05694nam a22006375i 4500 | ||
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001 | 978-3-540-73922-7 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540739227 _9978-3-540-73922-7 |
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024 | 7 |
_a10.1007/978-3-540-73922-7 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
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_aUYQ _2bicssc |
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_aArtificial Immune Systems _h[electronic resource] : _b6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007, Proceedings / _cedited by Leandro N. de Castro, Fernando J. Von Zuben, Helder Knidel. |
250 | _a1st ed. 2007. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007. |
|
300 |
_aXII, 440 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v4628 |
|
505 | 0 | _aSearch 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. | |
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aComputer science. _99832 |
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650 | 0 |
_aAlgorithms. _93390 |
|
650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aInformation storage and retrieval systems. _922213 |
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650 | 0 |
_aBioinformatics. _99561 |
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650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aTheory of Computation. _9141816 |
650 | 2 | 4 |
_aAlgorithms. _93390 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9141817 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 4 |
_aComputational and Systems Biology. _931619 |
700 | 1 |
_aCastro, Leandro N. de. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9141818 |
|
700 | 1 |
_aVon Zuben, Fernando J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9141819 |
|
700 | 1 |
_aKnidel, Helder. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9141820 |
|
710 | 2 |
_aSpringerLink (Online service) _9141821 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540739210 |
776 | 0 | 8 |
_iPrinted edition: _z9783540841616 |
830 | 0 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v4628 _9141822 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-73922-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c93159 _d93159 |