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
Probability collectivesa distributed...
~
Abraham, Ajith.
Probability collectivesa distributed multi-agent system approach for optimization /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Probability collectivesby Anand Jayant Kulkarni, Kang Tai, Ajith Abraham.
其他題名:
a distributed multi-agent system approach for optimization /
作者:
Kulkarni, Anand Jayant.
其他作者:
Tai, Kang.
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
ix, 157 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Multiagent systems.
電子資源:
http://dx.doi.org/10.1007/978-3-319-16000-9
ISBN:
9783319160009 (electronic bk.)
Probability collectivesa distributed multi-agent system approach for optimization /
Kulkarni, Anand Jayant.
Probability collectives
a distributed multi-agent system approach for optimization /[electronic resource] :by Anand Jayant Kulkarni, Kang Tai, Ajith Abraham. - Cham :Springer International Publishing :2015. - ix, 157 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.861868-4394 ;. - Intelligent systems reference library ;v.24..
Introduction to Optimization -- Probability Collectives: A Distributed Optimization Approach -- Constrained Probability Collectives: A Heuristic Approach -- Constrained Probability Collectives with a Penalty Function Approach -- Constrained Probability Collectives With Feasibility-Based Rule I -- Probability Collectives for Discrete and Mixed Variable Problems -- Probability Collectives with Feasibility-Based Rule II.
This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
ISBN: 9783319160009 (electronic bk.)
Standard No.: 10.1007/978-3-319-16000-9doiSubjects--Topical Terms:
484868
Multiagent systems.
LC Class. No.: QA76.76.I58
Dewey Class. No.: 006.3
Probability collectivesa distributed multi-agent system approach for optimization /
LDR
:02048nmm a2200325 a 4500
001
461848
003
DE-He213
005
20150921113945.0
006
m d
007
cr nn 008maaau
008
151110s2015 gw s 0 eng d
020
$a
9783319160009 (electronic bk.)
020
$a
9783319159997 (paper)
024
7
$a
10.1007/978-3-319-16000-9
$2
doi
035
$a
978-3-319-16000-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.76.I58
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.3
$2
23
090
$a
QA76.76.I58
$b
K96 2015
100
1
$a
Kulkarni, Anand Jayant.
$3
714248
245
1 0
$a
Probability collectives
$h
[electronic resource] :
$b
a distributed multi-agent system approach for optimization /
$c
by Anand Jayant Kulkarni, Kang Tai, Ajith Abraham.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
ix, 157 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Intelligent systems reference library,
$x
1868-4394 ;
$v
v.86
505
0
$a
Introduction to Optimization -- Probability Collectives: A Distributed Optimization Approach -- Constrained Probability Collectives: A Heuristic Approach -- Constrained Probability Collectives with a Penalty Function Approach -- Constrained Probability Collectives With Feasibility-Based Rule I -- Probability Collectives for Discrete and Mixed Variable Problems -- Probability Collectives with Feasibility-Based Rule II.
520
$a
This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
650
0
$a
Multiagent systems.
$3
484868
650
0
$a
Artificial intelligence.
$3
194058
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
Artificial Intelligence (incl. Robotics).
$3
306256
650
2 4
$a
Statistical Physics, Dynamical Systems and Complexity.
$3
376808
700
1
$a
Tai, Kang.
$3
714249
700
1
$a
Abraham, Ajith.
$3
254770
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Intelligent systems reference library ;
$v
v.24.
$3
558591
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-16000-9
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
000000111355
電子館藏
1圖書
電子書
EB QA76.76.I58 K96 2015
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/10.1007/978-3-319-16000-9
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