語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Heuristic programming." ]
切換:
標籤
|
MARC模式
|
ISBD
Advances in metaheuristics algorithm...
~
Cuevas, Erik.
FindBook
Google Book
Amazon
博客來
Advances in metaheuristics algorithms = methods and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in metaheuristics algorithms/ by Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros.
其他題名:
methods and applications /
作者:
Cuevas, Erik.
其他作者:
Zaldivar, Daniel.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
xiv, 218 p. :ill. (some col.), digital ;24 cm.
內容註:
Introduction -- The metaheuristic algorithm of the social-spider -- Calibration of Fractional Fuzzy Controllers by using the Social-spider method -- The metaheuristic algorithm of the Locust-search -- Identification of fractional chaotic systems by using the Locust Search Algorithm -- The States of Matter Search (SMS) -- Multimodal States of Matter search -- Metaheuristic algorithms based on Fuzzy Logic.
Contained By:
Springer eBooks
標題:
Mathematical optimization. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-89309-9
ISBN:
9783319893099
Advances in metaheuristics algorithms = methods and applications /
Cuevas, Erik.
Advances in metaheuristics algorithms
methods and applications /[electronic resource] :by Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros. - Cham :Springer International Publishing :2018. - xiv, 218 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7751860-949X ;. - Studies in computational intelligence ;v.775..
Introduction -- The metaheuristic algorithm of the social-spider -- Calibration of Fractional Fuzzy Controllers by using the Social-spider method -- The metaheuristic algorithm of the Locust-search -- Identification of fractional chaotic systems by using the Locust Search Algorithm -- The States of Matter Search (SMS) -- Multimodal States of Matter search -- Metaheuristic algorithms based on Fuzzy Logic.
This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
ISBN: 9783319893099
Standard No.: 10.1007/978-3-319-89309-9doiSubjects--Topical Terms:
517763
Mathematical optimization.
LC Class. No.: QA402.5 / .C848 2018
Dewey Class. No.: 519.6
Advances in metaheuristics algorithms = methods and applications /
LDR
:02683nmm a2200325 a 4500
001
2136830
003
DE-He213
005
20180927142041.0
006
m d
007
cr nn 008maaau
008
181117s2018 gw s 0 eng d
020
$a
9783319893099
$q
(electronic bk.)
020
$a
9783319893082
$q
(paper)
024
7
$a
10.1007/978-3-319-89309-9
$2
doi
035
$a
978-3-319-89309-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA402.5
$b
.C848 2018
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
519.6
$2
23
090
$a
QA402.5
$b
.C965 2018
100
1
$a
Cuevas, Erik.
$3
2180030
245
1 0
$a
Advances in metaheuristics algorithms
$h
[electronic resource] :
$b
methods and applications /
$c
by Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xiv, 218 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-949X ;
$v
v.775
505
0
$a
Introduction -- The metaheuristic algorithm of the social-spider -- Calibration of Fractional Fuzzy Controllers by using the Social-spider method -- The metaheuristic algorithm of the Locust-search -- Identification of fractional chaotic systems by using the Locust Search Algorithm -- The States of Matter Search (SMS) -- Multimodal States of Matter search -- Metaheuristic algorithms based on Fuzzy Logic.
520
$a
This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
650
0
$a
Mathematical optimization.
$3
517763
650
0
$a
Heuristic programming.
$3
698997
650
1 4
$a
Engineering.
$3
586835
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
890894
700
1
$a
Zaldivar, Daniel.
$3
2180031
700
1
$a
Perez-Cisneros, Marco.
$3
2180032
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Studies in computational intelligence ;
$v
v.775.
$3
3308613
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-89309-9
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9343524
電子資源
11.線上閱覽_V
電子書
EB QA402.5 .C848 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入