Big Bang-Big Crunch optimization for parameter estimation in structural systems

Tang, Hesheng; Zhou, Jin; Xue, Shengjun; Xie, Liyu

doi:10.1016/j.ymssp.2010.03.012

Cited by 58 publications

(17 citation statements)

References 16 publications

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“…Afshar and Motaei (2011) employed the BB-BC algorithm to find the optimal solution of large-scale reservoir operation problems. Tang et al (2010) used the algorithm for parameter estimation in structural systems. The first application of the BB-BC algorithm in design optimization of skeletal structures was performed by Camp (2007).…”

Section: Findmentioning

confidence: 99%

Upper Bound Strategy in Optimum Design of Truss Structures: A Big Bang-Big Crunch Algorithm Based Application

Azad

Hasançebi

Erol

2013

Advances in Structural Engineering

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One main shortcoming of metaheuristic search techniques in structural optimization is the large number of time-consuming structural analyses required for convergence to a reasonable solution. This study is an attempt to apply the so-called upper bound strategy (UBS) as a simple, yet an efficient strategy to reduce the total number of structural analyses through avoiding unnecessary analyses during the course of optimization. Although, the usefulness of the UBS is demonstrated in conjunction with a big bang-big crunch algorithm developed for optimum design of truss structures, it can be integrated with any other metaheuristic technique which works on the basis of (μ+Λ) evolutionary model. The numerical investigations over three benchmark truss optimization instances reveal that the UBS can reduce the total number of required structural analyses of the standard BB-BC algorithm to a great extent.

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Section: Findmentioning

confidence: 99%

Upper Bound Strategy in Optimum Design of Truss Structures: A Big Bang-Big Crunch Algorithm Based Application

Azad

Hasançebi

Erol

2013

Advances in Structural Engineering

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“…The BB-BC method has been successfully applied to a variety of optimization problems: the parameter estimation of The flow chart of the BB-BC algorithm. structural systems (Tang et al, 2010), fuzzy system control (Kumbasar et al, 2008;Yesil & Urbas, 2010), design of space trusses (Camp, 2007) and for constructing fuzzy cognitive maps. Comparative studies with other heuristic optimization methods have demonstrated that the BB-BC method is able to converge quickly to the global minimum even in the case of several local minima and to provide good quality solutions.…”

Section: Fundamentals Of the Bb-bc Methodsmentioning

confidence: 99%

The hybrid big bang–big crunch method for solving crystal structure from powder diffraction data

et al. 2013

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The big bang–big crunch method is a global optimization approach developed upon the analogy of one of the cosmological theories of the evolution of the universe. It has been suitably combined with a simulated annealing algorithm and used for solving crystal structure from powder diffraction data in direct space. When compared with the traditional simulated annealing method, it provides a significant advance: good solutions are attained in a shorter time. The new method has been implemented in the EXPO package. Its successful application is demonstrated with examples of already known structures.

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“…Parameter estimation and system identification have been active areas of research in recent years (Sun, Feng, Liu, & Feng, 2015;Yuen & Mu, 2015;Zhang & Zhou, 2015), which are used in the emerging area of structural health monitoring (Oh, Kim, & Park, 2015;Sun & Betti, 2015;Cha & Buyukozturk, 2015). Tang, Zhou, Xue, and Xie (2010) used the BB-BC algorithm for parameter estimation of structural systems formulated as a multi-modal optimization problem with high dimension. The performance of the method is investigated under different conditions such as limited output data, noise-polluted signals, and no prior knowledge of mass, damping, or stiffness.…”

Section: Applicationsmentioning

confidence: 99%