Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis

He, Rong-Song; Hwang, Shun‐Fa

doi:10.1016/j.engappai.2006.11.020

Cited by 53 publications

(18 citation statements)

References 29 publications

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“…Genetic algorithm (GA) is a stochastic optimization algorithm based on biological evolutionary theory (Holland, 1975;Goldberg, 1989) and receives great attentions for its potential as a global optimization technique (Tung et al, 2003;Veith et al, 2003;Javadi et al, 2005;Zolfaghari et al, 2005;Chang, 2007b;He and Hwang, 2007;Gomes and Silva, 2008;Sedki et al, 2009;Sengupta and Upadhyay, 2009). Although many forms of GA have been developed, the present study uses a simple genetic algorithm (SGA) proposed by Holland (1975) and Goldberg (1989).…”

Section: Genetic Algorithmmentioning

confidence: 98%

Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan

Chang

Lee

et al. 2011

Engineering Geology

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Section: Genetic Algorithmmentioning

confidence: 98%

Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan

Chang

Lee

et al. 2011

Engineering Geology

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“…In a study, Koh and Dyke [1] have determined the location and extent of multiple damage by iteratively searching for a combination of structural responses that maximizes a correlation coefficient named the multiple damage location assurance criterion (MDLAC) via a genetic algorithm (GA). Damage detection by a hybrid technique consisting of a real-parameter genetic algorithm and grey relation analysis has been presented by He and Hwang [2]. They used first a grey relation analysis to exclude impossible damage locations such that the number of design variables could be reduced.…”

Section: Introductionmentioning

confidence: 99%

Structural damage detection using an efficient correlation-based index and a modified genetic algorithm

Nobahari

Seyedpoor

2011

Mathematical and Computer Modelling

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a b s t r a c tAn efficient optimization procedure is proposed to detect multiple damage in structural systems. Natural frequency changes of a structure are considered as a criterion for damage presence. In order to evaluate the required natural frequencies, a finite element analysis (FEA) is utilized. A modified genetic algorithm (MGA) with two new operators (health and simulator operators) is presented to accurately detect the locations and extent of the eventual damage. An efficient correlation-based index (ECBI) as the objective function for the optimization algorithm is also introduced. The numerical results of two benchmark examples considering the measurement noise demonstrate the computational advantages of the proposed method to precisely determine the sites and the extent of multiple structural damage.

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“…According to the gray system theory, water resource system is regarded as a gray system including resource, society, and economy subsystems. Recently, GRA has been widely applied in many fields, such as agricultural, socioeconomic, and environmental systems (Fu et al, 2001;He and Hwang, 2007;Lin et al, 2007;Wang, 2007;Zeng et al, 2007;Kuo et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Integrated water resource security evaluation of Beijing based on GRA and TOPSIS

Chi

Chen

et al. 2010

Front. Earth Sci. China

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Security evaluation has become a hot topic in the research field of water resource management. In this paper, we established a novel water resource security indicator system based on the Pressure-Status-Response (PSR) framework using gray relation analysis (GRA) and technique for order preference by similarity to ideal solution (TOPSIS). A case study of Beijing from 1996 to 2007 was conducted to verify the evaluation system. Results showed that the gray relative closeness degrees of water resource security to the positive ideal solution were low, with the least one of 0.360 in 1999 and the largest one of 0.527 in 2007, implying that Beijing was facing severer challenges with water resources during the concerned time. Also, the analysis of water resource security indicated that the pressure of water resource was constantly increasing. Finally, factor analysis was employed to calculate the gray relation degrees of evaluating indices with the ideal solutions so as to reveal the relativity of water resource security of Beijing, which may contribute to a better understanding of the urban water resource management and regulation.

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Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis

Cited by 53 publications

References 29 publications

Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan

Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan

Structural damage detection using an efficient correlation-based index and a modified genetic algorithm

Integrated water resource security evaluation of Beijing based on GRA and TOPSIS

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