語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Glowworm swarm optimizationtheory, a...
~
Ghose, Debasish.
Glowworm swarm optimizationtheory, algorithms, and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Glowworm swarm optimizationby Krishnanand N. Kaipa, Debasish Ghose.
其他題名:
theory, algorithms, and applications /
作者:
Kaipa, Krishnanand N.
其他作者:
Ghose, Debasish.
出版者:
Cham :Springer International Publishing :2017.
面頁冊數:
xxvi, 248 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Swarm intelligenceMathematics.
電子資源:
http://dx.doi.org/10.1007/978-3-319-51595-3
ISBN:
9783319515953$q(electronic bk.)
Glowworm swarm optimizationtheory, algorithms, and applications /
Kaipa, Krishnanand N.
Glowworm swarm optimization
theory, algorithms, and applications /[electronic resource] :by Krishnanand N. Kaipa, Debasish Ghose. - Cham :Springer International Publishing :2017. - xxvi, 248 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6981860-949X ;. - Studies in computational intelligence ;v. 216..
Preface -- Acknowledgements -- 1 From Natural to Synthetic Swarms -- 2 Glowworm Swarm Optimization: Algorithm Development -- 3 Theoretical Foundations -- 4 Multimodal Function Optimization -- 5 Experiments using Physical Simulations and Real Robots -- 6 Applications to Ubiquitous Computing Environments -- 7 Pursuit of Multiple Mobile Signal Sources -- 8 GSO Applications and Extensions.
This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.
ISBN: 9783319515953$q(electronic bk.)
Standard No.: 10.1007/978-3-319-51595-3doiSubjects--Topical Terms:
773092
Swarm intelligence
--Mathematics.
LC Class. No.: Q337.3
Dewey Class. No.: 006.3824
Glowworm swarm optimizationtheory, algorithms, and applications /
LDR
:02474nmm a2200325 a 4500
001
506831
003
DE-He213
005
20170810111825.0
006
m d
007
cr nn 008maaau
008
171030s2017 gw s 0 eng d
020
$a
9783319515953$q(electronic bk.)
020
$a
9783319515946$q(paper)
024
7
$a
10.1007/978-3-319-51595-3
$2
doi
035
$a
978-3-319-51595-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q337.3
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.3824
$2
23
090
$a
Q337.3
$b
.K13 2017
100
1
$a
Kaipa, Krishnanand N.
$3
773090
245
1 0
$a
Glowworm swarm optimization
$h
[electronic resource] :
$b
theory, algorithms, and applications /
$c
by Krishnanand N. Kaipa, Debasish Ghose.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2017.
300
$a
xxvi, 248 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-949X ;
$v
v.698
505
0
$a
Preface -- Acknowledgements -- 1 From Natural to Synthetic Swarms -- 2 Glowworm Swarm Optimization: Algorithm Development -- 3 Theoretical Foundations -- 4 Multimodal Function Optimization -- 5 Experiments using Physical Simulations and Real Robots -- 6 Applications to Ubiquitous Computing Environments -- 7 Pursuit of Multiple Mobile Signal Sources -- 8 GSO Applications and Extensions.
520
$a
This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.
650
0
$a
Swarm intelligence
$x
Mathematics.
$3
773092
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
650
2 4
$a
Algorithms.
$3
184661
700
1
$a
Ghose, Debasish.
$3
773091
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Studies in computational intelligence ;
$v
v. 216.
$3
380871
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-51595-3
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000137766
電子館藏
1圖書
電子書
EB Q337.3 K13 2017
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-51595-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入