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Title
Structural optimization using shuffled shepherd meta-heuristic algorithm : extensions and applications / Ali Kaveh, Ataollah Zaerreza.
ISBN
9783031255731 electronic book
3031255739 electronic book
9783031255724
3031255720
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (270 pages) : illustrations (black and white, and color).
Item Number
10.1007/978-3-031-25573-1 doi
Call Number
TA658.8 .K38 2023
Dewey Decimal Classification
624.1/7713
Summary
This book presents the so-called Shuffled Shepherd Optimization Algorithm (SSOA), a recently developed meta-heuristic algorithm by authors. There is always limitations on the resources to be used in the construction. Some of the resources used in the buildings are also detrimental to the environment. For example, the cement utilized in making concrete emits carbon dioxide, which contributes to the global warming. Hence, the engineers should employ resources efficiently and avoid the waste. In the traditional optimal design methods, the number of trials and errors used by the designer is limited, so there is no guarantee that the optimal design can be found for structures. Hence, the deigning method should be changed, and the computational algorithms should be employed in the optimum design problems. The gradient-based method and meta-heuristic algorithms are the two different types of methods used to find the optimal solution. The gradient-based methods require gradient information. Also, these can easily be trapped in the local optima in the nonlinear and complex problems. Therefore, to overcome these issues, meta-heuristic algorithms are developed. These algorithms are simple and can get out of the local optimum by easy means. However, a single meta-heuristic algorithm cannot find the optimum results in all types of optimization problems. Thus, civil engineers develop different meta-heuristic algorithms for their optimization problems. Different applications of the SSOA are provided. The simplified and enhanced versions of the SSOA are also developed and efficiently applied to various optimization problems in structures. Another special feature of this book consists of the use of graph theoretical force method as analysis tool, in place of traditional displacement approach. This has reduced the computational time to a great extent, especially for those structures having smaller DSI compared to the DKI. New framework is also developed for reliability-based design of frame structures. The algorithms are clearly stated such that they can simply be implemented and utilized in practice and research.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Series
Studies in systems, decision and control ; v. 463.
Introduction
Shuffled shepherd optimization method: a new meta-heuristic algorithm
Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency
An Enhanced Shuffled Shepherd Optimization Algorithm (ESSOA)
A New Strategy Added to the SSAO for Structural Damage Detection
Optimum Design of Curve Roof Frames by SSOA and Comparison with TLBO, ECBO, and WSA
Optimum Design of Castellated Beams Using SSOA and Other Four Meta-Heuristic Algorithms
An Improved PSO Using the SRM of the ESSOA for Optimum Design of the Frame Structures Using The Force Method
An Efficient ESSOA for the Reliability Based Design Optimization Using the New Framework
Reliability-Based Design Optimization of the Frame Structures Using the ESSOA and ERao.
