| Description |
1 online resource (viii, 310 pages) : illustrations |
| Series |
Studies in systems, decision and control ; volume 326 |
|
Studies in systems, decision and control ; v. 326.
|
| Contents |
Developments on metaheuristic-based optimization in structural engineering -- Artificial intelligence and machine learning with reflection for structural engineering : a review -- Design optimization of multi-objective structural engineering problems via artificial bee colony algorithm -- Optimal parameter identification of fuzzy controllers in nonlinear buildings based on seismic hazard analysis using tribe-charged system search -- Current trends in the optimization approaches for optimal structural control -- The effect of SSI and impulsive motions on optimum active controlled MDOF structure -- Metaheuristic algorithms for optimal design of Truss structures -- Total potential optimization using hybrid metaheuristics : a tunnel problem solved via plane stress members -- Buckling analysis and stacking sequence optimization of symmetric laminated composite plates -- Sustainable optimum design of RC retaining walls : the influence of structural material and surrounding soil properties -- Statistical evaluation of metaheuristic algorithm : an optimum reinforced concrete t-beam problem |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed February 16, 2021) |
| In |
Springer Nature eBook |
| Subject |
Structural optimization -- Data processing
|
|
Metaheuristics.
|
|
Metaheuristics
|
|
Structural optimization -- Data processing
|
| Form |
Electronic book
|
| Author |
Nigdeli, Sinan Melih, 1982- editor.
|
|
Bekdas, Gebrail, 1980- editor.
|
|
Kayabekir, Aylin Ece, 1993- editor.
|
|
Yucel, Melda, 1995- editor.
|
| ISBN |
9783030618483 |
|
303061848X |
|
