Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence / / Dan Simon.
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| Year of Publication: | 2013 |
| Language: | English |
| Online Access: | |
| Physical Description: | xxx, 742 p. :; ill. |
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| 020 | |z 9780470937419 (hardback) | ||
| 020 | |z 9781118659502 | ||
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| 050 | 4 | |a QA76.9.A43 |b S536 2013 | |
| 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. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a Evolutionary computation. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 0 | |a Biologically-inspired computing. | |
| 655 | 4 | |a Electronic books. | |
| 710 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1216196 |z Click to View |