Evolutionary optimization algorithms biologically-Inspired and population-based approaches to computer intelligence /
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Main Author: | |
---|---|
Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Hoboken, NJ :
John Wiley & Sons Inc.,
2013.
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Subjects: | |
Online Access: | An electronic book accessible through the World Wide Web; click to view |
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001 | 0000170942 | ||
005 | 20171002063624.0 | ||
006 | m o u | ||
007 | cr cn||||||||| | ||
008 | 130326s2013 njua sb 001 0 eng d | ||
010 | |z 2013000458 | ||
020 | |z 9780470937419 (hardback) | ||
020 | |z 9781118659502 | ||
035 | |a (CaPaEBR)ebr10722521 | ||
035 | |a (OCoLC)849936252 | ||
040 | |a CaPaEBR |c CaPaEBR | ||
050 | 1 | 4 | |a QA76.9.A43 |b S536 2013eb |
082 | 0 | 4 | |a 006.3 |2 23 |
100 | 1 | |a Simon, Dan, |d 1960- | |
245 | 1 | 0 | |a Evolutionary optimization algorithms |h [electronic resource] : |b biologically-Inspired and population-based approaches to computer intelligence / |c Dan Simon. |
260 | |a Hoboken, NJ : |b John Wiley & Sons Inc., |c 2013. | ||
300 | |a xxx, 742 p. : |b ill. | ||
504 | |a Includes bibliographical references (p. 685-726) and index. | ||
533 | |a Electronic reproduction. |b Palo Alto, Calif. : |c ebrary, |d 2013. |n Available via World Wide Web. |n Access may be limited to ebrary affiliated libraries. | ||
650 | 0 | |a Evolutionary computation. | |
650 | 0 | |a Computer algorithms. | |
650 | 0 | |a Biologically-inspired computing. | |
655 | 7 | |a Electronic books. |2 local | |
710 | 2 | |a ebrary, Inc. | |
856 | 4 | 0 | |u http://site.ebrary.com/lib/daystar/Doc?id=10722521 |z An electronic book accessible through the World Wide Web; click to view |
908 | |a 170314 | ||
942 | 0 | 0 | |c EB |
999 | |c 160084 |d 160084 |