000 | 02953nam a2200481 i 4500 | ||
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001 | 6267245 | ||
003 | IEEE | ||
005 | 20220712204609.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151229s2006 maua ob 001 eng d | ||
020 |
_a9780262255981 _qelectronic |
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020 |
_z0262041944 _qCloth |
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020 |
_z9780262041942 _qCloth |
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035 | _a(CaBNVSL)mat06267245 | ||
035 | _a(IDAMS)0b000064818b41fd | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aQA76.618 _b.D45 2006eb |
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082 | 0 | 4 |
_a005.1 _222 |
100 | 1 |
_aDe Jong, Kenneth A., _eauthor. _921724 |
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245 | 1 | 0 |
_aEvolutionary computation : _ba unified approach / _cKenneth A. De Jong. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _c2006 |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2006] |
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300 |
_a1 PDF (256 pages) : _billustrations. |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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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 |
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650 | 0 |
_aEvolutionary computation. _94099 |
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655 | 0 |
_aElectronic books. _93294 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _921725 |
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710 | 2 |
_aMIT Press, _epublisher. _921726 |
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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 |