Search group algorithm: A new metaheuristic method for the optimization of truss structures

Gonçalves, Matheus Silva; López, Rosalía Rodríguez; Miguel, Leandro Fleck Fadel

doi:10.1016/j.compstruc.2015.03.003

Cited by 162 publications

(59 citation statements)

References 52 publications

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“…Reference [7] used the ground structure approach for truss topology optimization. Similar methods of structural optimization using the ground structure approach have been applied to diverse problems [2][3][4] using various algorithms [5,[8][9][10][11]. Furthermore, with improved optimization heuristics and higher computation capabilities, optimization has been performed for complex structures.…”

Section: Literature Reviewmentioning

confidence: 99%

Extraction of Structural System Designs from Topologies via Morphological Analysis and Artificial Intelligence

Jootoo

Lattanzi

2018

Designs

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Structural system design is the process of giving form to a set of interconnected components subjected to loads and design constraints while navigating a complex design space. While safe designs are relatively easy to develop, optimal designs are not. Modern computational optimization approaches employ population based metaheuristic algorithms to overcome challenges with the system design optimization landscape. However, the choice of the initial population, or ground structure, can have an outsized impact on the resulting optimization. This paper presents a new method of generating such ground structures, using a combination of topology optimization (TO) and a novel system extraction algorithm. Since TO generates monolithic structures, rather than systems, its use for structural system design and optimization has been limited. In this paper, truss systems are extracted from topologies through morphological analysis and artificial intelligence techniques. This algorithm, and its assessment, constitutes the key contribution of this paper. The structural systems obtained are compared with ground truth solutions to evaluate the performance of the algorithms. The generated structures are also compared against benchmark designs from the literature. The results indicate that the presented truss generation algorithm produces structures comparable to those generated through metaheuristic optimization, while mitigating the need for assumptions about initial ground structures.

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Section: Literature Reviewmentioning

confidence: 99%

Extraction of Structural System Designs from Topologies via Morphological Analysis and Artificial Intelligence

Jootoo

Lattanzi

2018

Designs

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“…In Kaveh and Talatahari [14], the optimum geometry and topology design of geodesic domes is obtained by using Charged System Search (CSS). Recently, Gon calves et al [15] presented search group algorithm, and Mirjalili developed the ant lion optimizer [16]. Applications to some real-life problems can be found in the work of [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Topology and geometry optimization of single-layer domes utilizing CBO and ECBO

Kaveh

Rezaei²

2016

Scientia Iranica

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Abstract. Dome structures are elegant and economical structures used for covering large areas. In this paper, an optimum topology design is performed using the Colliding Bodies Optimization (CBO) method and its enhanced version (ECBO). The Schwedler and ribbed domes are studied determining the optimum number of rings, the optimum number of joints in each ring, the optimum height of crown, and tubular sections of these domes. The minimum volume of each dome is taken as the objective function. A simple procedure is de ned to determine the con gurations of Schwedler and ribbed domes. This procedure includes calculation of the joint coordinates and element constructions. The design constraints are implemented according to the provision of LRFD-AISC. First, a comparative study for domes using di erent algorithms is carried out, and then the e ect of choosing di erent number of joints in each ring on the optimal topology is investigated for Schwedler domes to verify the suitability of design procedure and to demonstrate e ectiveness of the ECBO.

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“…Many authors used for this purpose different metaheuristic computation schemes including genetic algorithms [4][5][6][7][8][9][10]. The procedures based on genetic operators allow solving extremum problems on discrete sets of variable topologies and parameters that corresponds to the real-life practice of structural design.…”

Section: Introductionmentioning

confidence: 99%

Optimum synthesis of steel plane trusses with subdivided panels

Serpik

Komshin

2017

MATEC Web Conf.

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Abstract.A computation scheme for topology and size optimization of steel trusses with subdivided panels has been developed. The framework strength, stiffness and stability limitations have been taken into consideration. The search for effective solutions is carried out on the basis of a genetic algorithm. An example of using the approach for optimization of the plane lenticular girder-type truss with 72 m span is given. A topology variant of the additional rods system for the truss panels and values of rod cross-sections for the whole structure has been obtained.

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Search group algorithm: A new metaheuristic method for the optimization of truss structures

Cited by 162 publications

References 52 publications

Extraction of Structural System Designs from Topologies via Morphological Analysis and Artificial Intelligence

Extraction of Structural System Designs from Topologies via Morphological Analysis and Artificial Intelligence

Topology and geometry optimization of single-layer domes utilizing CBO and ECBO

Optimum synthesis of steel plane trusses with subdivided panels

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