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
Advanced optimization by nature-insp...
~
Bozorg-Haddad, Omid.
Advanced optimization by nature-inspired algorithms
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advanced optimization by nature-inspired algorithmsedited by Omid Bozorg-Haddad.
其他作者:
Bozorg-Haddad, Omid.
出版者:
Singapore :Springer Singapore :2018.
面頁冊數:
xv, 159 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Natural computation.
電子資源:
http://dx.doi.org/10.1007/978-981-10-5221-7
ISBN:
9789811052217$q(electronic bk.)
Advanced optimization by nature-inspired algorithms
Advanced optimization by nature-inspired algorithms
[electronic resource] /edited by Omid Bozorg-Haddad. - Singapore :Springer Singapore :2018. - xv, 159 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7201860-949X ;. - Studies in computational intelligence ;v. 216..
Introduction -- Cat Swarm Optimization (CSO) Algorithm -- League Championship Algorithm (LCA) -- Anarchic Society Optimization (ASO) Algorithm -- Cuckoo Optimization Algorithm (COA) -- Teaching-Learning-Based Optimization (TLBO) Algorithm -- Flower pollination Algorithm (FPA) -- Krill Herd Algorithm (KHA) -- Grey Wolf Optimization (GWO) Algorithm -- Shark Smell Optimization (SSO) Algorithm -- Ant Lion Optimizer (ALO) Algorithm -- Gradient Evolution (GE) Algorithm -- Moth-Flame Optimization (MFO) Algorithm -- Crow Search Algorithm (CSA) -- Dragonfly Algorithm (DA)
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
ISBN: 9789811052217$q(electronic bk.)
Standard No.: 10.1007/978-981-10-5221-7doiSubjects--Topical Terms:
339160
Natural computation.
LC Class. No.: QA76.9.N37
Dewey Class. No.: 006.38
Advanced optimization by nature-inspired algorithms
LDR
:02187nmm a2200325 a 4500
001
526612
003
DE-He213
005
20170630172949.0
006
m d
007
cr nn 008maaau
008
181012s2018 si s 0 eng d
020
$a
9789811052217$q(electronic bk.)
020
$a
9789811052200$q(paper)
024
7
$a
10.1007/978-981-10-5221-7
$2
doi
035
$a
978-981-10-5221-7
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
A244 2018
245
0 0
$a
Advanced optimization by nature-inspired algorithms
$h
[electronic resource] /
$c
edited by Omid Bozorg-Haddad.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2018.
300
$a
xv, 159 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-949X ;
$v
v.720
505
0
$a
Introduction -- Cat Swarm Optimization (CSO) Algorithm -- League Championship Algorithm (LCA) -- Anarchic Society Optimization (ASO) Algorithm -- Cuckoo Optimization Algorithm (COA) -- Teaching-Learning-Based Optimization (TLBO) Algorithm -- Flower pollination Algorithm (FPA) -- Krill Herd Algorithm (KHA) -- Grey Wolf Optimization (GWO) Algorithm -- Shark Smell Optimization (SSO) Algorithm -- Ant Lion Optimizer (ALO) Algorithm -- Gradient Evolution (GE) Algorithm -- Moth-Flame Optimization (MFO) Algorithm -- Crow Search Algorithm (CSA) -- Dragonfly Algorithm (DA)
520
$a
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
650
0
$a
Natural computation.
$3
339160
650
0
$a
Computational intelligence.
$3
210824
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Optimization.
$3
274084
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
650
2 4
$a
Operation Research/Decision Theory.
$3
585050
650
2 4
$a
Theoretical and Applied Mechanics.
$3
274501
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
274492
700
1
$a
Bozorg-Haddad, Omid.
$3
799273
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/10.1007/978-981-10-5221-7
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
000000149331
電子館藏
1圖書
電子書
EB QA76.9.N37 A244 2018 2018
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/10.1007/978-981-10-5221-7
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