Optimized design of two-dimensional structures using a genetic algorithm C Camp, S Pezeshk, G Cao Journal of structural engineering 124 (5), 551-559, 1998 | 452 | 1998 |
Design of nonlinear framed structures using genetic optimization S Pezeshk, CV Camp, D Chen Journal of structural engineering 126 (3), 382-388, 2000 | 358 | 2000 |
Selection and scaling of ground motion time histories for structural design using genetic algorithms F Naeim, A Alimoradi, S Pezeshk Earthquake spectra 20 (2), 413-426, 2004 | 322 | 2004 |
Flexural design of reinforced concrete frames using a genetic algorithm CV Camp, S Pezeshk, H Hansson Journal of structural engineering 129 (1), 105-115, 2003 | 283 | 2003 |
On the application of machine learning techniques to derive seismic fragility curves J Kiani, C Camp, S Pezeshk Computers & Structures 218, 108-122, 2019 | 215 | 2019 |
Hybrid empirical ground-motion prediction equations for eastern North America using NGA models and updated seismological parameters S Pezeshk, A Zandieh, B Tavakoli Bulletin of the Seismological Society of America 101 (4), 1859-1870, 2011 | 203 | 2011 |
Empirical-stochastic ground-motion prediction for eastern North America B Tavakoli, S Pezeshk Bulletin of the Seismological Society of America 95 (6), 2283-2296, 2005 | 160 | 2005 |
A new inversion procedure for spectral analysis of surface waves using a genetic algorithm S Pezeshk, M Zarrabi Bulletin of the Seismological Society of America 95 (5), 1801-1808, 2005 | 70 | 2005 |
Adaptive search optimization in reducing pump operating costs S Pezeshk, OJ Helweg Journal of Water Resources Planning and Management 122 (1), 57-63, 1996 | 69 | 1996 |
Probabilistic performance-based optimal design of steel moment-resisting frames. I: Formulation CM Foley, S Pezeshk, A Alimoradi Journal of Structural Engineering 133 (6), 757-766, 2007 | 67 | 2007 |
School based optimization algorithm for design of steel frames M Farshchin, M Maniat, CV Camp, S Pezeshk Engineering Structures 171, 326-335, 2018 | 65 | 2018 |
Partially nonergodic empirical ground‐motion models for predicting horizontal and vertical PGV, PGA, and 5% damped linear acceleration response spectra using data from the … F Sedaghati, S Pezeshk Bulletin of the Seismological Society of America 107 (2), 934-948, 2017 | 63 | 2017 |
Risk-based seismic design for optimal structural and nonstructural system performance HA Rojas, C Foley, S Pezeshk Earthquake Spectra 27 (3), 857-880, 2011 | 53 | 2011 |
Sensitivity analysis of the seismic demands of RC moment resisting frames to different aspects of ground motions J Kiani, S Pezeshk Earthquake engineering & structural dynamics 46 (15), 2739-2755, 2017 | 52 | 2017 |
An improvement on the estimation of pseudoresponse spectral velocity using RVT method L Liu, S Pezeshk Bulletin of the Seismological Society of America 89 (5), 1384-1389, 1999 | 52 | 1999 |
State of the art on the use of genetic algorithms in design of steel structures S Pezeshk, CV Camp Recent advances in optimal structural design, 55, 2002 | 51 | 2002 |
Alternative hybrid empirical ground‐motion model for central and eastern North America using hybrid simulations and NGA‐West2 models A Shahjouei, S Pezeshk Bulletin of the Seismological Society of America 106 (2), 734-754, 2016 | 48 | 2016 |
Seismic performance-based design optimization considering direct economic loss and direct social loss S Saadat, CV Camp, S Pezeshk Engineering Structures 76, 193-201, 2014 | 47 | 2014 |
Estimation of the coda‐wave attenuation and geometrical spreading in the New Madrid seismic zone F Sedaghati, S Pezeshk Bulletin of the Seismological Society of America 106 (4), 1482-1498, 2016 | 45 | 2016 |
Ground‐motion prediction equations for central and eastern North America using the hybrid empirical method and NGA‐West2 empirical ground‐motion models S Pezeshk, A Zandieh, KW Campbell, B Tavakoli Bulletin of the Seismological Society of America 108 (4), 2278-2304, 2018 | 44 | 2018 |