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006 m o u
007 cr cn|||||||||
008 130326s2013 njua sb 001 0 eng d
010 _z 2013000458
020 _z9780470937419 (hardback)
020 _z9781118659502
035 _a(CaPaEBR)ebr10722521
035 _a(OCoLC)849936252
040 _aCaPaEBR
_cCaPaEBR
050 1 4 _aQA76.9.A43
_bS536 2013eb
082 0 4 _a006.3
_223
100 1 _aSimon, Dan,
_d1960-
245 1 0 _aEvolutionary optimization algorithms
_h[electronic resource] :
_bbiologically-Inspired and population-based approaches to computer intelligence /
_cDan Simon.
260 _aHoboken, NJ :
_bJohn Wiley & Sons Inc.,
_c2013.
300 _axxx, 742 p. :
_bill.
504 _aIncludes bibliographical references (p. 685-726) and index.
533 _aElectronic reproduction.
_bPalo Alto, Calif. :
_cebrary,
_d2013.
_nAvailable via World Wide Web.
_nAccess may be limited to ebrary affiliated libraries.
650 0 _aEvolutionary computation.
650 0 _aComputer algorithms.
650 0 _aBiologically-inspired computing.
655 7 _aElectronic books.
_2local
710 2 _aebrary, Inc.
856 4 0 _uhttp://site.ebrary.com/lib/daystar/Doc?id=10722521
_zAn electronic book accessible through the World Wide Web; click to view
908 _a170314
942 0 0 _cEB
999 _c160084
_d160084