000 02953nam a2200481 i 4500
001 6267245
003 IEEE
005 20220712204609.0
006 m o d
007 cr |n|||||||||
008 151229s2006 maua ob 001 eng d
020 _a9780262255981
_qelectronic
020 _z0262041944
_qCloth
020 _z9780262041942
_qCloth
035 _a(CaBNVSL)mat06267245
035 _a(IDAMS)0b000064818b41fd
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.618
_b.D45 2006eb
082 0 4 _a005.1
_222
100 1 _aDe Jong, Kenneth A.,
_eauthor.
_921724
245 1 0 _aEvolutionary computation :
_ba unified approach /
_cKenneth A. De Jong.
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_c2006
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2006]
300 _a1 PDF (256 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _a1. Introduction -- 2. A historical perspective -- 3. Canonical evolutionary algorithms -- 4. A unified view of simple EAs -- 5. Evolutionary algorithms as problem solvers --
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aEvolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/29/2015.
650 0 _aEvolutionary programming (Computer science)
_915709
650 0 _aEvolutionary computation.
_94099
655 0 _aElectronic books.
_93294
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_921725
710 2 _aMIT Press,
_epublisher.
_921726
776 0 8 _iPrint version:
_z9780262041942
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267245
942 _cEBK
999 _c72903
_d72903