000 04005nam a22005175i 4500
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
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.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
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