Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
An Introduction to Harmony Search Op...
~
Gao, Xiao-Zhi.
An Introduction to Harmony Search Optimization Method
Record Type:
Language materials, printed : Monograph/item
Title/Author:
An Introduction to Harmony Search Optimization Method/ by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger.
Author:
Wang, Xiaolei.
other author:
Gao, Xiao-Zhi.
Description:
VI, 88 p. 46 illus., 5 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-08356-8
ISBN:
9783319083568
An Introduction to Harmony Search Optimization Method
Wang, Xiaolei.
An Introduction to Harmony Search Optimization Method
[electronic resource] /by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger. - 1st ed. 2015. - VI, 88 p. 46 illus., 5 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3704. - SpringerBriefs in Computational Intelligence,.
Introduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions.
This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
ISBN: 9783319083568
Standard No.: 10.1007/978-3-319-08356-8doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
An Introduction to Harmony Search Optimization Method
LDR
:02404nam a22003975i 4500
001
960716
003
DE-He213
005
20200701133912.0
007
cr nn 008mamaa
008
201211s2015 gw | s |||| 0|eng d
020
$a
9783319083568
$9
978-3-319-08356-8
024
7
$a
10.1007/978-3-319-08356-8
$2
doi
035
$a
978-3-319-08356-8
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Wang, Xiaolei.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1062278
245
1 3
$a
An Introduction to Harmony Search Optimization Method
$h
[electronic resource] /
$c
by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger.
250
$a
1st ed. 2015.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
VI, 88 p. 46 illus., 5 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
SpringerBriefs in Computational Intelligence,
$x
2625-3704
505
0
$a
Introduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions.
520
$a
This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Mathematical optimization.
$3
527675
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Optimization.
$3
669174
700
1
$a
Gao, Xiao-Zhi.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1062279
700
1
$a
Zenger, Kai.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1062280
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319083575
776
0 8
$i
Printed edition:
$z
9783319083551
830
0
$a
SpringerBriefs in Computational Intelligence,
$x
2625-3704
$3
1254760
856
4 0
$u
https://doi.org/10.1007/978-3-319-08356-8
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login