Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Simulated evolution and learning = 1...
~
SEAL (Conference) (2017 :)
Linked to FindBook
Google Book
Amazon
博客來
Simulated evolution and learning = 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Simulated evolution and learning/ edited by Yuhui Shi ... [et al.].
Reminder of title:
11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017 : proceedings /
remainder title:
SEAL 2017
other author:
Shi, Yuhui.
corporate name:
SEAL (Conference)
Published:
Cham :Springer International Publishing : : 2017.,
Description:
xxii, 1041 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Evolutionary programming (Computer science) - Congresses. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-68759-9
ISBN:
9783319687599
Simulated evolution and learning = 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017 : proceedings /
Simulated evolution and learning
11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017 : proceedings /[electronic resource] :SEAL 2017edited by Yuhui Shi ... [et al.]. - Cham :Springer International Publishing :2017. - xxii, 1041 p. :ill., digital ;24 cm. - Lecture notes in computer science,105930302-9743 ;. - Lecture notes in computer science ;10593..
This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.
ISBN: 9783319687599
Standard No.: 10.1007/978-3-319-68759-9doiSubjects--Topical Terms:
582174
Evolutionary programming (Computer science)
--Congresses.
LC Class. No.: QA76.618
Dewey Class. No.: 006.3823
Simulated evolution and learning = 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017 : proceedings /
LDR
:01698nmm a2200325 a 4500
001
2110792
003
DE-He213
005
20171014061940.0
006
m d
007
cr nn 008maaau
008
180619s2017 gw s 0 eng d
020
$a
9783319687599
$q
(electronic bk.)
020
$a
9783319687582
$q
(paper)
024
7
$a
10.1007/978-3-319-68759-9
$2
doi
035
$a
978-3-319-68759-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.618
072
7
$a
UYZG
$2
bicssc
072
7
$a
COM037000
$2
bisacsh
082
0 4
$a
006.3823
$2
23
090
$a
QA76.618
$b
.S438 2017
111
2
$a
SEAL (Conference)
$n
(11th :
$d
2017 :
$c
Shenzhen, China)
$3
3264216
245
1 0
$a
Simulated evolution and learning
$h
[electronic resource] :
$b
11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017 : proceedings /
$c
edited by Yuhui Shi ... [et al.].
246
3
$a
SEAL 2017
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2017.
300
$a
xxii, 1041 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
10593
520
$a
This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.
650
0
$a
Evolutionary programming (Computer science)
$x
Congresses.
$3
582174
650
0
$a
Computer simulation
$x
Congresses.
$3
697380
650
0
$a
Multidisciplinary design optimization
$v
Congresses.
$3
3264218
650
0
$a
Mathematical optimization
$x
Congresses.
$3
647613
650
0
$a
Machine learning
$x
Congresses.
$3
576368
650
1 4
$a
Computer Science.
$3
626642
650
2 4
$a
Computation by Abstract Devices.
$3
891207
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
890894
650
2 4
$a
Algorithm Analysis and Problem Complexity.
$3
891007
650
2 4
$a
Models and Principles.
$3
891221
650
2 4
$a
Computer Communication Networks.
$3
775497
650
2 4
$a
Simulation and Modeling.
$3
890873
700
1
$a
Shi, Yuhui.
$3
577798
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
10593.
$3
3264217
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-68759-9
950
$a
Computer Science (Springer-11645)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9323877
電子資源
11.線上閱覽_V
電子書
EB QA76.618
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login