000 | 01375nam a2200349Ia 4500 | ||
---|---|---|---|
001 | 0000170942 | ||
005 | 20171002063624.0 | ||
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 |