Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams

Pérez, Juan L.; Cladera, A.; Rabuñal, Juan R.; Martínez-Abella, Fernando

doi:10.1016/j.advengsoft.2012.02.008

Cited by 42 publications

(24 citation statements)

References 21 publications

(25 reference statements)

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“…Thus make the problem to converge fast with global optima. It is widely used by many researchers for solving optimization problems [Baydar and Saitou, 2001, Barmpalexis, Kachrimanis, Tsakonas, and Georgarakis, 2011, Pérez, Cladera, Rabuñal, and Martínez-Abella, 2012, Mousavi, Esfahanipour, and Zarandi, 2014. Although GP shows good performance, but still there is a need to improve the crossover and mutation operators as they produce individuals which are poor in fitness as compared to parents [Muni, Pal, and Das, 2004], due to which GP takes more time to reach the desired solution.…”

Section: Genetic Programmingmentioning

confidence: 99%

Breast cancer diagnosis using Genetically Optimized Neural Network model

Bhardwaj

Tiwari

2015

Expert Systems with Applications

210

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Section: Genetic Programmingmentioning

confidence: 99%

Breast cancer diagnosis using Genetically Optimized Neural Network model

Bhardwaj

Tiwari

2015

Expert Systems with Applications

210

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“…They are the formulations given in Eurocode 2 (European Committee for Standardisation (CEN) 2002), Pérez et al (Pérez et al 2010, Pérez et al 2012 Any explicit partial safety factor given in the different design formulations has been removed when comparing the predictions with the experimental results, because the objective of this paper is not to carry out a safety calibration, but to study the general response of the presented methods in front of different experimental tests. Average values of the compressive strength have been used for all studied design formulations (f c in Table 1).…”

Section: Shear Design Proceduresmentioning

confidence: 99%

Influence of the longitudinal reinforcement on the shear strength of one-way concrete slabs

Gurutzeaga¹,

Oller

Ribas

et al. 2014

Mater Struct

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The shear strength of one-way slabs is studied in this paper via an experimental program performed by the authors and the analysis of a shear test database. The experimental program, in which six slabs and three beams divided into two series were tested, was developed to study the influence of the slab width, the longitudinal reinforcement spacing and the bottom transverse reinforcement on the shear response of one-way slabs. The results showed that the width and the bottom transverse reinforcement do not significantly affect the shear response of the slab. The shear failure surface depends on the longitudinal reinforcement spacing because a three-dimensional resisting mechanism formed as a result of large bar spacing. A database of 79 tests on slabs was analysed to study in depth the influence of these parameters on the shear strength of one-way slabs. Finally, different shear procedures were applied to the database to evaluate their reliability to predict the shear strength.

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“…These approaches are usually based on techno-commercial decision parameters [13], as well as the specifications provided by international standards or practical design criteria [14,15]. Moreover, the high versatility of the evolutionary computation allows performing an specialized structural optimization (e.g., the shear strength of reinforced concrete members), using large experimental databases and evolving the standard formulation of the structural models based on a set of restrictions [16,17].…”

Section: Related Workmentioning

confidence: 99%