語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Nature-Inspired Metaheuristic Algori...
~
Carbas, Serdar.
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications/ edited by Serdar Carbas, Abdurrahim Toktas, Deniz Ustun.
其他作者:
Ustun, Deniz.
面頁冊數:
XII, 404 p. 195 illus., 135 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Theory of Computation. -
電子資源:
https://doi.org/10.1007/978-981-33-6773-9
ISBN:
9789813367739
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
[electronic resource] /edited by Serdar Carbas, Abdurrahim Toktas, Deniz Ustun. - 1st ed. 2021. - XII, 404 p. 195 illus., 135 illus. in color.online resource. - Springer Tracts in Nature-Inspired Computing,2524-552X. - Springer Tracts in Nature-Inspired Computing,.
Introduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications -- PART 1: Civil and Structural Engineering -- Harmony Search Algorithm for Structural Engineering Problems -- Teaching Learning Based Optimum Design of Transmission Tower Structures -- Modified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures -- Electrostatic Discharge Algorithm for Optimum Design of Real Size Truss Structures -- Solving of Distinct Engineering Optimization Problems using Metaheuristic Algorithms -- The Design of Trapezoidal Corrugated Web Beams using Firefly Method -- Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction using Grasshopper Optimization Algorithm; A Case Study of Tabriz, Iran -- Optimization and Artificial Neural Network Models for Reinforced Concrete Members -- Statistical Investigation of the Robustness for the Optimization Algorithms -- Optimum Design of Beams with Varying Cross-Section by Using Application Interface -- Metaheuristic-based Structural Control Methods and Comparison of Applications -- Evolutionary Structural Optimization – A Trial Review -- An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications -- PART 2: Electrical and Electronics, Computer, and Communication Engineering -- Artificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communication -- Multi-objective Design of Multilayer Microwave Dielectric Filters using Artificial Bee Colony Algorithm -- Multi-objective Sparse Signal Reconstruction in Compressed Sensing -- Optimal Allocation of Flexible Alternative Current Transmission Systems: An Application of Particle Swarm Optimization.
This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.
ISBN: 9789813367739
Standard No.: 10.1007/978-981-33-6773-9doiSubjects--Topical Terms:
669322
Theory of Computation.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
LDR
:04448nam a22004095i 4500
001
1049848
003
DE-He213
005
20210630072739.0
007
cr nn 008mamaa
008
220103s2021 si | s |||| 0|eng d
020
$a
9789813367739
$9
978-981-33-6773-9
024
7
$a
10.1007/978-981-33-6773-9
$2
doi
035
$a
978-981-33-6773-9
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
245
1 0
$a
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
$h
[electronic resource] /
$c
edited by Serdar Carbas, Abdurrahim Toktas, Deniz Ustun.
250
$a
1st ed. 2021.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
XII, 404 p. 195 illus., 135 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
Springer Tracts in Nature-Inspired Computing,
$x
2524-552X
505
0
$a
Introduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications -- PART 1: Civil and Structural Engineering -- Harmony Search Algorithm for Structural Engineering Problems -- Teaching Learning Based Optimum Design of Transmission Tower Structures -- Modified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures -- Electrostatic Discharge Algorithm for Optimum Design of Real Size Truss Structures -- Solving of Distinct Engineering Optimization Problems using Metaheuristic Algorithms -- The Design of Trapezoidal Corrugated Web Beams using Firefly Method -- Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction using Grasshopper Optimization Algorithm; A Case Study of Tabriz, Iran -- Optimization and Artificial Neural Network Models for Reinforced Concrete Members -- Statistical Investigation of the Robustness for the Optimization Algorithms -- Optimum Design of Beams with Varying Cross-Section by Using Application Interface -- Metaheuristic-based Structural Control Methods and Comparison of Applications -- Evolutionary Structural Optimization – A Trial Review -- An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications -- PART 2: Electrical and Electronics, Computer, and Communication Engineering -- Artificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communication -- Multi-objective Design of Multilayer Microwave Dielectric Filters using Artificial Bee Colony Algorithm -- Multi-objective Sparse Signal Reconstruction in Compressed Sensing -- Optimal Allocation of Flexible Alternative Current Transmission Systems: An Application of Particle Swarm Optimization.
520
$a
This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.
650
2 4
$a
Theory of Computation.
$3
669322
650
2 4
$a
Optimization.
$3
669174
650
1 4
$a
Computational Intelligence.
$3
768837
650
0
$a
Computers.
$3
565115
650
0
$a
Algorithms.
$3
527865
650
0
$a
Mathematical optimization.
$3
527675
650
0
$a
Computational intelligence.
$3
568984
700
1
$a
Ustun, Deniz.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1354074
700
1
$a
Toktas, Abdurrahim.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1354073
700
1
$a
Carbas, Serdar.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1354072
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789813367722
776
0 8
$i
Printed edition:
$z
9789813367746
776
0 8
$i
Printed edition:
$z
9789813367753
830
0
$a
Springer Tracts in Nature-Inspired Computing,
$x
2524-552X
$3
1313864
856
4 0
$u
https://doi.org/10.1007/978-981-33-6773-9
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入