國立虎尾科技大學 |

Advances in Structural Engineering—Optimization = Emerging Trends in Structural Optimization /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Structural Engineering—Optimization/ edited by Sinan Melih Nigdeli, Gebrail Bekdaş, Aylin Ece Kayabekir, Melda Yucel.
其他題名:	Emerging Trends in Structural Optimization /
其他作者:	Yucel, Melda.
面頁冊數:	VIII, 310 p. 138 illus., 64 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Civil Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-61848-3
ISBN:	9783030618483

Advances in Structural Engineering—Optimization = Emerging Trends in Structural Optimization /
Advances in Structural Engineering—OptimizationEmerging Trends in Structural Optimization /[electronic resource] :edited by Sinan Melih Nigdeli, Gebrail Bekdaş, Aylin Ece Kayabekir, Melda Yucel. - 1st ed. 2021. - VIII, 310 p. 138 illus., 64 illus. in color.online resource. - Studies in Systems, Decision and Control,3262198-4190 ;. - Studies in Systems, Decision and Control,27.

Developments on Metaheuristic-Based Optimization in Structural Engineering -- Current Trends in the Optimization Approaches for Optimal Structural Control -- Statistical Evaluation of Metaheuristic Algorithm: An Optimum Reinforced Concrete T-Beam Problem.

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.

ISBN: 9783030618483

Standard No.: 10.1007/978-3-030-61848-3doiSubjects--Topical Terms:

669250
Civil Engineering.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Structural Engineering—Optimization = Emerging Trends in Structural Optimization /
LDR:02841nam a22004095i 4500 001 1050210
003 DE-He213
005 20210921154132.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030618483 $9 978-3-030-61848-3
024 7 $a 10.1007/978-3-030-61848-3 $2 doi
035 $a 978-3-030-61848-3
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 Advances in Structural Engineering—Optimization $h [electronic resource] : $b Emerging Trends in Structural Optimization / $c edited by Sinan Melih Nigdeli, Gebrail Bekdaş, Aylin Ece Kayabekir, Melda Yucel.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a VIII, 310 p. 138 illus., 64 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 Studies in Systems, Decision and Control, $x 2198-4190 ; $v 326
505 0 $a Developments on Metaheuristic-Based Optimization in Structural Engineering -- Current Trends in the Optimization Approaches for Optimal Structural Control -- Statistical Evaluation of Metaheuristic Algorithm: An Optimum Reinforced Concrete T-Beam Problem.
520 $a This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.
650 2 4 $a Civil Engineering. $3 669250
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Civil engineering. $3 561339
650 0 $a Computational intelligence. $3 568984
700 1 $a Yucel, Melda. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1354469
700 1 $a Kayabekir, Aylin Ece. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1354468
700 1 $a Bekdaş, Gebrail. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1272017
700 1 $a Nigdeli, Sinan Melih. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1104092
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030618476
776 0 8 $i Printed edition: $z 9783030618490
776 0 8 $i Printed edition: $z 9783030618506
830 0 $a Studies in Systems, Decision and Control, $x 2198-4182 ; $v 27 $3 1254124
856 4 0 $u https://doi.org/10.1007/978-3-030-61848-3
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)