Construction scheduling using Genetic Algorithm based on Building Information Model

Faghihi, Vahid; Reinschmidt, Kenneth F.; Kang, Julian

doi:10.1016/j.eswa.2014.05.047

Cited by 94 publications

(61 citation statements)

References 15 publications

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“…Such works as the study in the field of numerical optimization [19], the use of the genetic algorithm [21,22,23] are included in the list. Although these studies point to the enormous potential for structural and parametric optimization being used in the field of design, quite a few studies pay attention to the possibilities of interactive application of optimization methods for solving problems and achieving development goals, which are used by engineers.…”

Section: Resultsmentioning

confidence: 99%

“…In a number of cases, the automation of the structure is possible due to the certainty and homogeneity of the original redundant structure. In a number of cases, the automation of the structure is possible due to the certainty and homogeneity of the original redundant structure [21][22][23][24][25][26]. The design process is of a systemic nature, the main task of which is to check and link the solutions of individual constructions to the setup.…”

Section: Discussionmentioning

confidence: 99%

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The use of methods of structural optimization at the stage of designing high-rise buildings with steel construction

Vasilkin

2018

E3S Web Conf.

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Abstract. The more designing solutions at the search stage for design for high-rise buildings can be synthesized by the engineer, the more likely that the final adopted version will be the most efficient and economical. However, in modern market conditions, taking into account the complexity and responsibility of high-rise buildings the designer does not have the necessary time to develop, analyze and compare any significant number of options. To solve this problem, it is expedient to use the high potential of computer-aided designing. To implement automated search for design solutions, it is proposed to develop the computing facilities, the application of which will significantly increase the productivity of the designer and reduce the complexity of designing. Methods of structural and parametric optimization have been adopted as the basis of the computing facilities. Their efficiency in the synthesis of design solutions is shown, also the schemes, that illustrate and explain the introduction of structural optimization in the traditional design of steel frames, are constructed. To solve the problem of synthesis and comparison of design solutions for steel frames, it is proposed to develop the computing facilities that significantly reduces the complexity of search designing and based on the use of methods of structural and parametric optimization.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The use of methods of structural optimization at the stage of designing high-rise buildings with steel construction

Vasilkin

2018

E3S Web Conf.

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“…Assim, ao gerar uma nova população, os melhores genomas "poderão ser autorizados" a serem transmitidos de forma inalterada para a população futura. Este método é conhecido como seleção elitista e esses genomas selecionados são chamados de membros de elite da população mais antiga (FAGHIHI et al, 2014). …”

Section: B) Função De Aptidãounclassified

Estudo comparativo entre os métodos gradiente reduzido generalizado e algoritmo genético em otimização com múltiplas respostas

Gomes¹,

Pereira²,

Marins³

et al. 2017

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Resumo: Neste trabalho foi realizado um estudo comparativo entre as metodologias de otimização Gradiente Reduzido Generalizado (GRG) e Algoritmo Genético (AG) para a otimização de processos com múltiplas respostas. Para estimar os parâmetros que minimizam a função objetivo foram utilizadas respostas geradas por planejamento de experimentos de forma aglutinada, as quais foram incorporadas à função objetivo. Os estudos de caso utilizados foram baseados em trabalhos selecionados na literatura e, para cada experimento selecionado, foi realizada a otimização dos valores dos parâmetros do processo utilizando as duas metodologias, o GRG, por meio de uma planilha do Microsoft Excel e o AG utilizando o software Scilab. Foram realizadas 10 replicações e calculada a média dos resultados obtidos. A comparação entre os métodos foi realizada com base em medidas de desempenho, por meio da distância média percentual. O AG apresentou melhores resultados em comparação com o GRG. Palavras-chave:Otimização. Múltiplas Respostas. Algoritmo Genético. GRG. Abstract:In this paper we present a comparative study between the Generalized Reduced Gradient (GRG) and Genetic Algorithm (GA) methods to optimize multiple-response processes. Results from experiment design were used to compose the objective function to be minimized. The case studies in this work were selected from literature. A Microsoft Excel spreadsheet was used for parameters optimization using GRG, and the Scilab software was used to GA. Ten replicates were performed and the mean of the results was obtained. To assess the methods was used performance measures based on the mean percentage error. From the performance measures used, the AG showed better results compared to the GRG, indicating that the AG can generate better responses than GRG.

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“…In order to find the best solution, a supplementary optimization is necessary, which should be executed before the start of the supervised construction process. Faghihi (Faghihi et al, 2014) presented a genetic algorithm-based methodology for steel-structure buildings where the applied criteria are calculated from the structural stability.…”

Section: Researches Examinedmentioning

confidence: 99%

Developing a New Logistics Based Model and Pilot System for Construction

Gyimesi¹,

Bohács²

2015

Period. Polytech. Transp. Eng.

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Construction scheduling using Genetic Algorithm based on Building Information Model

Cited by 94 publications

References 15 publications

The use of methods of structural optimization at the stage of designing high-rise buildings with steel construction

The use of methods of structural optimization at the stage of designing high-rise buildings with steel construction

Estudo comparativo entre os métodos gradiente reduzido generalizado e algoritmo genético em otimização com múltiplas respostas

Developing a New Logistics Based Model and Pilot System for Construction

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