語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Nature-inspired computing and optimi...
~
SpringerLink (Online service)
FindBook
Google Book
Amazon
博客來
Nature-inspired computing and optimization = theory and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Nature-inspired computing and optimization/ edited by Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu.
其他題名:
theory and applications /
其他作者:
Patnaik, Srikanta.
出版者:
Cham :Springer International Publishing : : 2017.,
面頁冊數:
xxi, 494 p. :ill. (some col.), digital ;24 cm.
內容註:
From the content: The Nature of Nature: Why Nature Inspired Algorithms Work -- Improved Bat Algorithm in Noise-Free and Noisy Environments -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le.
Contained By:
Springer eBooks
標題:
Natural computation. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-50920-4
ISBN:
9783319509204
Nature-inspired computing and optimization = theory and applications /
Nature-inspired computing and optimization
theory and applications /[electronic resource] :edited by Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu. - Cham :Springer International Publishing :2017. - xxi, 494 p. :ill. (some col.), digital ;24 cm. - Modeling and optimization in science and technologies,v.102196-7326 ;. - Modeling and optimization in science and technologies ;v.10..
From the content: The Nature of Nature: Why Nature Inspired Algorithms Work -- Improved Bat Algorithm in Noise-Free and Noisy Environments -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le.
The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.
ISBN: 9783319509204
Standard No.: 10.1007/978-3-319-50920-4doiSubjects--Topical Terms:
1002233
Natural computation.
LC Class. No.: QA76.9.N37
Dewey Class. No.: 006.38
Nature-inspired computing and optimization = theory and applications /
LDR
:02539nmm a2200325 a 4500
001
2092810
003
DE-He213
005
20170911142517.0
006
m d
007
cr nn 008maaau
008
171117s2017 gw s 0 eng d
020
$a
9783319509204
$q
(electronic bk.)
020
$a
9783319509198
$q
(paper)
024
7
$a
10.1007/978-3-319-50920-4
$2
doi
035
$a
978-3-319-50920-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.N37
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.38
$2
23
090
$a
QA76.9.N37
$b
N285 2017
245
0 0
$a
Nature-inspired computing and optimization
$h
[electronic resource] :
$b
theory and applications /
$c
edited by Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2017.
300
$a
xxi, 494 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Modeling and optimization in science and technologies,
$x
2196-7326 ;
$v
v.10
505
0
$a
From the content: The Nature of Nature: Why Nature Inspired Algorithms Work -- Improved Bat Algorithm in Noise-Free and Noisy Environments -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le.
520
$a
The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.
650
0
$a
Natural computation.
$3
1002233
650
0
$a
Mathematical optimization.
$3
517763
650
1 4
$a
Engineering.
$3
586835
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Optimization.
$3
891104
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
890894
650
2 4
$a
Simulation and Modeling.
$3
890873
650
2 4
$a
Engineering Economics, Organization, Logistics, Marketing.
$3
891023
700
1
$a
Patnaik, Srikanta.
$3
1568498
700
1
$a
Yang, Xin-She.
$3
906652
700
1
$a
Nakamatsu, Kazumi.
$3
1005794
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Modeling and optimization in science and technologies ;
$v
v.10.
$3
3227058
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-50920-4
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9317184
電子資源
11.線上閱覽_V
電子書
EB QA76.9.N37
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入