Evolutionary optimization algorithms biologically-Inspired and population-based approaches to computer intelligence /

Saved in:
Bibliographic Details
Main Author: Simon, Dan, 1960-
Corporate Author: ebrary, Inc
Format: Electronic eBook
Language:English
Published: Hoboken, NJ : John Wiley & Sons Inc., 2013.
Subjects:
Online Access:An electronic book accessible through the World Wide Web; click to view
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a2200000Ia 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 |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