Meta-heuristic and evolutionary algorithms for engineering optimization / / Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loaiciga.

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Bibliographic Details
Superior document:Wiley Series in Operations Research and Management Science
VerfasserIn:
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Place / Publishing House:Hoboken, New Jersey : : Wiley,, 2017.
2017
Year of Publication:2017
Language:English
Series:Wiley series in operations research and management science.
Online Access:
Physical Description:1 online resource (281 pages) :; illustrations.
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100 1 |a Bozorg-Haddad, Omid,  |d 1974-  |e author. 
245 1 0 |a Meta-heuristic and evolutionary algorithms for engineering optimization /  |c Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loaiciga. 
264 1 |a Hoboken, New Jersey :  |b Wiley,  |c 2017. 
264 4 |c 2017 
300 |a 1 online resource (281 pages) :  |b illustrations. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
490 1 |a Wiley Series in Operations Research and Management Science 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record. 
590 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. 
650 0 |a Mathematical optimization. 
650 0 |a Engineering design  |x Mathematics. 
655 4 |a Electronic books. 
700 1 |a Solgi, Mohammad,  |e author. 
700 1 |a Loaiciga, Hugo A.,  |e author. 
776 0 8 |i Print version:  |t Meta-heuristic and evolutionary algorithms for engineering optimization.  |d Hoboken, New Jersey : Wiley, c2017   |h xxiii, 280 pages   |k Wiley series in operations research and management science.  |z 9781119386995   |w 2017017765 
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830 0 |a Wiley series in operations research and management science. 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5015534  |z Click to View