000 | 04005nam a22005175i 4500 | ||
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001 | 978-3-540-72377-6 | ||
003 | DE-He213 | ||
005 | 20161121231203.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540723776 _9978-3-540-72377-6 |
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024 | 7 |
_a10.1007/978-3-540-72377-6 _2doi |
|
050 | 4 | _aTA345-345.5 | |
072 | 7 |
_aUGC _2bicssc |
|
072 | 7 |
_aCOM007000 _2bisacsh |
|
082 | 0 | 4 |
_a620.00420285 _223 |
245 | 1 | 0 |
_aAdvances in Evolutionary Computing for System Design _h[electronic resource] / _cedited by Lakhmi C. Jain, Vasile Palade, Dipti Srinivasan. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
|
300 |
_aVIII, 326 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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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v66 |
|
505 | 0 | _ato Evolutionary Computing in System Design -- Evolutionary Neuro-Fuzzy Systems and Applications -- Evolution of Fuzzy Controllers and Applications -- A Neuro-Genetic Framework for Multi-Classifier Design: An Application to Promoter Recognition in DNA Sequences -- Evolutionary Grooming of Traffic in WDM Optical Networks -- EPSO: Evolutionary Particle Swarms -- Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithms -- Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm -- Distributed Problem Solving using Evolutionary Learning in Multi-Agent Systems -- Evolutionary Computing within Grid Environment -- Application of Evolutionary Game Theory to Wireless Mesh Networks -- Applying Hybrid Multiobjective Evolutionary Algorithms to the Sailor Assignment Problem -- Evolutionary Techniques Applied to Hardware Optimization Problems: Test and Verification of Advanced Processors. | |
520 | _aEvolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design Evolutionary neuro-fuzzy systems Evolution of fuzzy controllers Genetic algorithms for multi-classifier design Evolutionary grooming of traffic Evolutionary particle swarms Fuzzy logic systems using genetic algorithms Evolutionary algorithms and immune learning for neural network-based controller design Distributed problem solving using evolutionary learning Evolutionary computing within grid environment Evolutionary game theory in wireless mesh networks Hybrid multiobjective evolutionary algorithms for the sailor assignment problem Evolutionary techniques in hardware optimization This book will be useful to researchers in intelligent systems with interest in evolutionary computing, application engineers and system designers. The book can also be used by students and lecturers as an advanced reading material for courses on evolutionary computing. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer-aided engineering. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputer-Aided Engineering (CAD, CAE) and Design. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aJain, Lakhmi C. _eeditor. |
|
700 | 1 |
_aPalade, Vasile. _eeditor. |
|
700 | 1 |
_aSrinivasan, Dipti. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540723769 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v66 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-72377-6 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c509846 _d509846 |