Bio-inspired computing -- theories and applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised selected papers. Part II / Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang (eds).
International Conference on Bio-inspired Computing, Theories and Applications (11th : 2016 : Xi'an Shi, China); Gong, Maoguo, editor.; Pan, Linqiang, editor.; Song, Tao, editor.; Zhang, Gexiang, editor.
2016
Q335
Available Online

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Title Bio-inspired computing -- theories and applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised selected papers. Part II / Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang (eds).
Meeting Name International Conference on Bio-inspired Computing, Theories and Applications (11th : 2016 : Xi'an Shi, China)
ISBN 9789811036149 (electronic book)
9811036144 (electronic book)
9789811036132
DOI https://doi.org/10.1007/978-981-10-3614-9
Published Singapore : Springer, 2016.
Language English
Description 1 online resource (xix, 540 pages) : illustrations.
Item Number 10.1007/978-981-10-3614-9 doi
Call Number Q335
Dewey Decimal Classification 006.3/82
Summary The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016. The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 19, 2017).
Added Author Gong, Maoguo, editor.
Pan, Linqiang, editor.
Song, Tao, editor.
Zhang, Gexiang, editor.
Series Communications in computer and information science ; 682.
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Evolutionary Computing
Multi-objective Optimization
Pattern Recognition
Others.

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