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
Metaheuristic computationa performan...
~
Camarena, Octavio.
Metaheuristic computationa performance perspective /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Metaheuristic computationby Erik Cuevas, Primitivo Diaz, Octavio Camarena.
其他題名:
a performance perspective /
作者:
Cuevas, Erik.
其他作者:
Diaz, Primitivo.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xiv, 269 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Metaheuristics.
電子資源:
https://doi.org/10.1007/978-3-030-58100-8
ISBN:
9783030581008$q(electronic bk.)
Metaheuristic computationa performance perspective /
Cuevas, Erik.
Metaheuristic computation
a performance perspective /[electronic resource] :by Erik Cuevas, Primitivo Diaz, Octavio Camarena. - Cham :Springer International Publishing :2021. - xiv, 269 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1951868-4394 ;. - Intelligent systems reference library ;v.24..
Introductory concepts of metaheuristic computation -- Introductory concepts of metaheuristic computation -- A metaheuristic methodology based on fuzzy logic principles.
This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance? Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.
ISBN: 9783030581008$q(electronic bk.)
Standard No.: 10.1007/978-3-030-58100-8doiSubjects--Topical Terms:
757062
Metaheuristics.
LC Class. No.: QA76.9.A43 / C84 2021
Dewey Class. No.: 005.1
Metaheuristic computationa performance perspective /
LDR
:02580nmm a2200337 a 4500
001
595191
003
DE-He213
005
20201005191847.0
006
m d
007
cr nn 008maaau
008
211005s2021 sz s 0 eng d
020
$a
9783030581008$q(electronic bk.)
020
$a
9783030580995$q(paper)
024
7
$a
10.1007/978-3-030-58100-8
$2
doi
035
$a
978-3-030-58100-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.A43
$b
C84 2021
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
005.1
$2
23
090
$a
QA76.9.A43
$b
C965 2021
100
1
$a
Cuevas, Erik.
$3
737835
245
1 0
$a
Metaheuristic computation
$h
[electronic resource] :
$b
a performance perspective /
$c
by Erik Cuevas, Primitivo Diaz, Octavio Camarena.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xiv, 269 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Intelligent systems reference library,
$x
1868-4394 ;
$v
v.195
505
0
$a
Introductory concepts of metaheuristic computation -- Introductory concepts of metaheuristic computation -- A metaheuristic methodology based on fuzzy logic principles.
520
$a
This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance? Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.
650
0
$a
Metaheuristics.
$3
757062
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Artificial Intelligence.
$3
212515
700
1
$a
Diaz, Primitivo.
$3
887287
700
1
$a
Camarena, Octavio.
$3
887288
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Intelligent systems reference library ;
$v
v.24.
$3
558591
856
4 0
$u
https://doi.org/10.1007/978-3-030-58100-8
950
$a
Intelligent Technologies and Robotics (SpringerNature-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
000000195336
電子館藏
1圖書
電子書
EB QA76.9.A43 C965 2021 2021
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/10.1007/978-3-030-58100-8
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