000 03188nam a22005535i 4500
001 978-3-642-17310-3
003 DE-He213
005 20140220083750.0
007 cr nn 008mamaa
008 110915s2011 gw | s |||| 0|eng d
020 _a9783642173103
_9978-3-642-17310-3
024 7 _a10.1007/978-3-642-17310-3
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM031000
_2bisacsh
082 0 4 _a004.0151
_223
100 1 _aMiller, Julian F.
_eeditor.
245 1 0 _aCartesian Genetic Programming
_h[electronic resource] /
_cedited by Julian F. Miller.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXXII, 346 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aNatural Computing Series,
_x1619-7127
505 0 _aIntroduction -- Cartesian Genetic Programming -- Modular Cartesian Genetic Programming -- Self-modifying Cartesian Genetic Programming -- Evolution of Electronic Circuits -- Image Processing -- Developmental Approaches -- Artificial Neural Approaches -- Medical Applications -- Hardware Acceleration -- Control Applications -- Evolutionary Art -- Future Directions -- App. A, A Bibliography of CGP Papers -- App. B, CGP Software.
520 _aCartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences.   This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.  
650 0 _aComputer science.
650 0 _aInformation theory.
650 0 _aArtificial intelligence.
650 0 _aInformation systems.
650 0 _aComputer aided design.
650 0 _aComputer engineering.
650 1 4 _aComputer Science.
650 2 4 _aTheory of Computation.
650 2 4 _aElectrical Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
650 2 4 _aComputer Appl. in Arts and Humanities.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642173097
830 0 _aNatural Computing Series,
_x1619-7127
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-17310-3
912 _aZDB-2-SCS
999 _c107235
_d107235