Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Metaheuristic computationa performan...
~
Camarena, Octavio.
Metaheuristic computationa performance perspective /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Metaheuristic computationby Erik Cuevas, Primitivo Diaz, Octavio Camarena.
Reminder of title:
a performance perspective /
Author:
Cuevas, Erik.
other author:
Diaz, Primitivo.
Published:
Cham :Springer International Publishing :2021.
Description:
xiv, 269 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Metaheuristics.
Online resource:
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)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000195336
電子館藏
1圖書
電子書
EB QA76.9.A43 C965 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-58100-8
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login