Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Kaveh, A.; Kalatjari, V. R.; Talebpour, Mohammad Hosein

doi:10.3311/ppci.8222

Cited by 9 publications

(7 citation statements)

References 25 publications

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“…During the migration process, a relatively small number of chromosomes from each island are sent to another island at specified intervals based on a specific topology, these chromosomes are called the immigrant chromosomes. Much work has been done to select the best migration topology, but the hyper-cube topology seems to be the best [30,31].…”

Section: Island Genetic Algorithmmentioning

confidence: 99%

“…On the other hand, in this method, all valid and efficient methods introduced by researchers can be used, due to the unique characteristics of the space of each island. In other words, each optimization problem is explored in one or several methods, then the design space is explored, and consecutively the best results are shared among other islands and new populations are provided for each island for breeding [31]. These properties reduce the impact of the parameters and also the governing relations on the operation of the genetic algorithm, thus, it dramatically increases the convergence rate of the algorithm.…”

Section: Island Genetic Algorithmmentioning

confidence: 99%

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Evaluation of NSP and MPA Methods to Optimize Special Truss Moment Frames (STMF) Using Island Genetic Algorithm

Sadeghpour

Kalatjari

Pahlavan

2021

Period. Polytech. Civil Eng.

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The purpose of the present study is to evaluate the Pushover (NSP) and Modal Pushover (MPA) analysis methods in optimizing Special Truss Moment Frames (STMF) using island genetic algorithm. For this purpose, the optimization program is written and developed in Matlab software, and OpenSees software is used for structural analysis. The design variables of truss arrangement, cross section of members, truss height values and length of special zone of truss moment frame are considered. The constraints of the optimization problem are based on the rules and restrictions of AISC341-16. Case studies were performed on five frames of 3, 6, 9, 12 and 15 stories with a story height of 3 meters and span length of 18 meters with the aim of minimizing weight and maximizing the response modification factor. The results of these analyses are compared with nonlinear dynamic time history analyses as the most accurate method available, which could be used to finally identify and introduce the most efficient method in these structures. The MPA method was able to show better performance than the NSP method in estimating the maximum response of the structure. Despite the excellent performance of this method, Evaluation of numerical results of this study indicates the non-economic nature of MPA method for low-rise structures, and the acceptable efficiency of this method for medium-height to high-rise structures.

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Section: Island Genetic Algorithmmentioning

confidence: 99%

Section: Island Genetic Algorithmmentioning

confidence: 99%

Evaluation of NSP and MPA Methods to Optimize Special Truss Moment Frames (STMF) Using Island Genetic Algorithm

Sadeghpour

Kalatjari

Pahlavan

2021

Period. Polytech. Civil Eng.

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“…This may be due to a grouping discrepancy between the respective problem definitions. Furthermore, upon implementation of the result provided by Kaveh et al (2016) the proposed solution that weighs 177 kg violates the constraints for the second load case leaving the authors to believe this may be the case in most readings. When the second load case is ignored in this study the result is 172 kg which compares well with the other papers.…”

Section: -Bar Trussmentioning

confidence: 99%

“…With the element grouping for the 16 size and topology variables as detailed in table 16. The list of 64 cross-sections used for this problem was taken from Kaveh et al (2016 The structure is also subjected to two load cases. Each applying a different stress pattern within the structure.…”

Section: -Bar Trussmentioning

confidence: 99%

A Quantitative Comparison Between Size, Shape, Topology and Simultaneous Optimization for Truss Structures

Muller

Klashorst

2017

Lat. Am. j. solids struct.

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“…In [4], four types of optimization including sizing optimization, shape optimization, topology optimization, and configuration optimization are carried out based on the adaptive Genetic Algorithm (GA). Kaveh et al [5] presented the Multi Metaheuristic-based Search method in which several metaheuristic algorithms are simultaneously employed on subsets of the initial population in order to increase the diversity over the design space. The proposed method was applied to optimize four different steel towers.…”

mentioning

confidence: 99%

Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique

Nguyen

2021

Frattura Ed Integrità Strutturale

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Transmission towers are tall structures used to support overhead power lines. They play an important role in the electrical grids. There are several types of transmission towers in which lattice towers are the most common type. Designing steel lattice transmission towers is a challenging task for structural engineers due to a large number of members. Therefore, discovering effective ways to design lattice towers has attracted the interest of researchers. This paper presents a method that integrates Differential Evolution (DE), a powerful optimization algorithm, and a machine learning classification model to minimize the weight of steel lattice towers. A classification model based on the Adaptive Boosting algorithm is developed in order to eliminate unpromising candidates during the optimization process. A feature handling technique is also introduced to improve the model quality. An illustrated example of a 160-bar tower is conducted to demonstrate the efficiency of the proposed method. The results show that the application of the Adaptive Boosting model saves about 38% of the structural analyses. As a result, the proposed method is 1.5 times faster than the original DE algorithm. In comparison with other algorithms, the proposed method obtains the same optimal weight with the least number of structural analyses.

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Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Abstract: In meta-heuristic algorithms, the problem of parameter tuning is one of the most important issues

Cited by 9 publications

References 25 publications

Evaluation of NSP and MPA Methods to Optimize Special Truss Moment Frames (STMF) Using Island Genetic Algorithm

Evaluation of NSP and MPA Methods to Optimize Special Truss Moment Frames (STMF) Using Island Genetic Algorithm

A Quantitative Comparison Between Size, Shape, Topology and Simultaneous Optimization for Truss Structures

Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique

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