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008 100310s2010 gw | s |||| 0|eng d
020 _a9783642107078
_9978-3-642-10707-8
040 _cMX-MeUAM
050 4 _aQ342
082 0 4 _a006.3
_223
100 1 _aZelinka, Ivan.
_eeditor.
245 1 0 _aEvolutionary Algorithms and Chaotic Systems
_h[recurso electrónico] /
_cedited by Ivan Zelinka, Sergej Celikovsky, Hendrik Richter, Guanrong Chen.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _a560p. 600 illus.
_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 ;
_v267
505 0 _aTheory -- Motivation for Application of Evolutionary Computation to Chaotic Systems -- Evolutionary Algorithms for Chaos Researchers -- Chaos Theory for Evolutionary Algorithms Researchers -- Evolutionary Algorithms and the Edge of Chaos -- Applications -- Evolutionary Design of Chaos Control in 1D -- Evolutionary Control of CML Systems -- Chaotic Systems Reconstruction -- Evolutionary Reconstruction of Chaotic Systems -- Cryptography Based on Spatiotemporal Chaotic Systems -- Evolutionary Decryption of Chaotically Encrypted Information -- Chaos Synthesis by Evolutionary Algorithms -- Evolutionary Synchronization of Chaotic Systems -- Evolutionary Optimization and Dynamic Fitness Landscapes -- Controller Parameters Optimization on a Representative Set of Systems Using Deterministic-Chaotic-Mutation Evolutionary Algorithms -- Chaotic Attributes and Permutative Optimization -- Frontiers.
520 _aThis book discusses the mutual intersection of two interesting fields of research, i.e. deterministic chaos and evolutionary computation. Evolutionary computation which are able to handle tasks such as control of various chaotic systems and synthesis of their structure are explored, while deterministic chaos is investigated as a behavioral part of evolutionary algorithms. This book is targeted for a number of audiences. Firstly, it will be an instructional material for senior undergraduate and entry-point graduate students in computer science, physics, applied mathematics, and engineering, who are working in the area of deterministic chaos and evolutionary algorithms. Secondly, researchers who desire to know how to apply evolutionary techniques on chaos control as well as researchers interested in the emergence of chaos in evolutionary algorithms will find this book a very useful tool and starting point. And finally, this book can be viewed as a resource handbook and material for practitioners who want to apply these methods that solve practical problems to their challenging applications.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aPhysics.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aComplexity.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aCelikovsky, Sergej.
_eeditor.
700 1 _aRichter, Hendrik.
_eeditor.
700 1 _aChen, Guanrong.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642107061
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v267
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-10707-8
596 _a19
942 _cLIBRO_ELEC
999 _c201720
_d201720