Multi-objective optimization of structural steel buildings under earthquake loads using NSGA-II and PSO

Barraza, Manuel; Bojórquez, Edén; Fernández-González, Eduardo; Reyes‐Salazar, Alfredo

doi:10.1007/s12205-017-1488-7

Cited by 26 publications

(11 citation statements)

References 19 publications

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“…In the literature, two types of games were considered: cooperative and non‐cooperative games. In cooperative games, Pareto efficiency (Pareto, 1896) was used in multiobjective problems (Annamdas & Rao, 2009; Barraza, Bojórquez, Fernández‐González, & Reyes‐Salazar, 2017; El Semelawy, Nassef, & El Damatty, 2012; Lagaros & Papadrakakis, 2007; Narayana Naik, Omkar, Mudigere, & Gopalakrishnan, 2011; Su, Tang, Xue, & Li, 2016). In non‐cooperative games, two solutions were proposed, which are Stackelberg equilibrium (Von Stackelberg, 1934) and Nash equilibrium (Nash, 1950).…”

Section: Introductionmentioning

confidence: 99%

Game theory‐based metaheuristics for structural design optimization

Mahjoubi

Bao

2021

Computer aided Civil Eng

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This paper presents game theory‐based strategies incorporated with metaheuristics to improve the computation efficiency and effectiveness in design optimization of civil engineering structures. The idea is that a structural optimization problem can be treated as a multiplayer game with optimization algorithms as the players. This study presents an innovative mixed game strategy and provides insights into domain decomposition schemes. Based on game theory strategies, six modified metaheuristic algorithms are proposed and demonstrated through a case study of a 30‐story mega‐braced frame‐core building with a complex configuration. Jaya algorithm is selected as the control to evaluate the proposed methods. The results show that the mixed game strategy helps reduce the computation cost by about 50%, while reducing the weights of the building by 4%, compared with the Jaya algorithm.

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Section: Introductionmentioning

confidence: 99%

Game theory‐based metaheuristics for structural design optimization

Mahjoubi

Bao

2021

Computer aided Civil Eng

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“…Sin embargo, en la mayoría de los estudios mencionados, sólo se minimiza una función objetivo que generalmente se trata del peso de la estructura. Barraza, 2013 y Barraza et al, 2017 aplicaron los algoritmos genéticos con optimización multi-objetivo y diseñaron marcos de acero, los resultados mostraron una disminución considerable del peso estructural lo cual se refleja de manera positiva en el costo total de la estructura y la disminución de la diferencia entre la distorsión permitida y la distorsión máxima de entrepiso. Kaveh et al, (2015) aplicó esta herramienta para el diseño sísmico basado en el desempeño mediante análisis no lineales minimizando el costo inicial de la construcción y el costo de reparación.…”

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Diseño Óptimo Multi-Objetivo De Edificios De Concreto Reforzado Usando Algoritmos Genéticos

Mora

Madrigal

Salazar

et al. 2019

RIS

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Se muestra el diseño sísmico óptimo de marcos estructurales de concreto reforzado mediante la aplicación de los algoritmos genéticos multi-objetivo, considerando dos objetivos de manera simultánea. El primer objetivo consiste en controlar la distorsión máxima de entrepiso y el segundo en minimizar el costo total estructural del marco. Para ello las estructuras se analizan representando el efecto sísmico a partir de fuerzas laterales. Para lograr un diseño sísmico satisfactorio se utiliza una búsqueda de soluciones basada en algoritmos evolutivos de optimización multi-objetivo denominada Non-Dominated Sorting Genetic Algorithm (NSGA-II). Los resultados obtenidos muestran que los algoritmos genéticos son una herramienta bastante útil para encontrar soluciones de problemas de optimización estructural, y que los diseños obtenidos son adecuados en términos de desempeño sísmico y economía.

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“…Kelesoglu [21] proposed a method for space truss design minimizing the weight and the displacements of the structures. Barraza [22] designed steel frames using NSGA-II and PSO techniques who searched to minimize the weight and a drift function achieving optimal results. In reinforced concrete frames, most of the studies have been carried out for 2D models or only elements such as beams design, in some cases seeking to minimize the cost and the maximum displacement [23] or to minimize the cost of repair or replacement of structural members [24].…”

Section: Introductionmentioning

confidence: 99%

Earthquake Design of Reinforced Concrete Buildings Using NSGA-II

Leyva

Bojórquez

Reyes‐Salazar

et al. 2018

Advances in Civil Engineering

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In the present study, the optimal seismic design of reinforced concrete (RC) buildings is obtained. For this purpose, genetic algorithms (GAs) are used through the technique NSGA-II (Nondominated Sorting Genetic Algorithm), thus a multiobjective procedure with two objective functions is established. The first objective function is the control of maximum interstory drift which is the most common parameter used in seismic design codes, while the second is to minimize the cost of the structure. For this aim, several RC buildings are designed in accordance with the Mexico City Building Code (MCBC). It is assumed that the structures are constituted by rectangular and square concrete sections for the beams, columns, and slabs which are represented by a binary codification. In conclusion, this study provides complete designed RC buildings which also can be used directly in the structural and civil engineering practice by means of genetic algorithms. Moreover, genetic algorithms are able to find the most adequate structures in terms of seismic performance and economy.

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Multi-objective optimization of structural steel buildings under earthquake loads using NSGA-II and PSO

Cited by 26 publications

References 19 publications

Game theory‐based metaheuristics for structural design optimization

Game theory‐based metaheuristics for structural design optimization

Diseño Óptimo Multi-Objetivo De Edificios De Concreto Reforzado Usando Algoritmos Genéticos

Earthquake Design of Reinforced Concrete Buildings Using NSGA-II

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