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
New advancements in swarm algorithms...
~
Cuevas, Erik.
New advancements in swarm algorithms: operators and applications
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
New advancements in swarm algorithms: operators and applicationsby Erik Cuevas, Fernando Fausto, Adrian Gonzalez.
作者:
Cuevas, Erik.
其他作者:
Fausto, Fernando.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xv, 296 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Algorithms.
電子資源:
https://doi.org/10.1007/978-3-030-16339-6
ISBN:
9783030163396$q(electronic bk.)
New advancements in swarm algorithms: operators and applications
Cuevas, Erik.
New advancements in swarm algorithms: operators and applications
[electronic resource] /by Erik Cuevas, Fernando Fausto, Adrian Gonzalez. - Cham :Springer International Publishing :2020. - xv, 296 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1601868-4394 ;. - Intelligent systems reference library ;v.24..
This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.
ISBN: 9783030163396$q(electronic bk.)
Standard No.: 10.1007/978-3-030-16339-6doiSubjects--Topical Terms:
184661
Algorithms.
LC Class. No.: QA9.58
Dewey Class. No.: 518.1
New advancements in swarm algorithms: operators and applications
LDR
:02112nmm a2200325 a 4500
001
578118
003
DE-He213
005
20200207101802.0
006
m d
007
cr nn 008maaau
008
201208s2020 sz s 0 eng d
020
$a
9783030163396$q(electronic bk.)
020
$a
9783030163389$q(paper)
024
7
$a
10.1007/978-3-030-16339-6
$2
doi
035
$a
978-3-030-16339-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA9.58
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
518.1
$2
23
090
$a
QA9.58
$b
.C965 2020
100
1
$a
Cuevas, Erik.
$3
737835
245
1 0
$a
New advancements in swarm algorithms: operators and applications
$h
[electronic resource] /
$c
by Erik Cuevas, Fernando Fausto, Adrian Gonzalez.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
xv, 296 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Intelligent systems reference library,
$x
1868-4394 ;
$v
v.160
520
$a
This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.
650
0
$a
Algorithms.
$3
184661
650
0
$a
Metaheuristics.
$3
757062
650
0
$a
Swarm intelligence.
$3
237730
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Artificial Intelligence.
$3
212515
700
1
$a
Fausto, Fernando.
$3
866721
700
1
$a
Gonzalez, Adrian.
$3
866722
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
https://doi.org/10.1007/978-3-030-16339-6
950
$a
Intelligent Technologies and Robotics (Springer-42732)
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
000000183016
電子館藏
1圖書
電子書
EB QA9.58 .C965 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-16339-6
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