東華大學圖書館 |

語系: 繁體中文

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

Probability collectives = a distribu...

Kulkarni, Anand Jayant.

FindBook

Google Book

Amazon

博客來

Probability collectives = a 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 collectives/ by 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.
內容註:	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.
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 collectives = a distributed multi-agent system approach for optimization /
Kulkarni, Anand Jayant.

Probability collectivesa 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:

1048048
Multiagent systems.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

Probability collectives = a distributed multi-agent system approach for optimization /
LDR:02048nmm a2200325 a 4500 001 1995314
003 DE-He213
005 20150921113945.0
006 m d
007 cr nn 008maaau
008 151019s2015 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 2134699
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 1048048
650 0 $a Artificial intelligence. $3 516317
650 0 $a Computational intelligence. $3 595739
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics). $3 923876
650 2 4 $a Statistical Physics, Dynamical Systems and Complexity. $3 1066325
700 1 $a Tai, Kang. $3 2134700
700 1 $a Abraham, Ajith. $3 891046
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.24. $3 1566491
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-16000-9
950 $a Engineering (Springer-11647)