Genetic Programming Bibliography entries for Emadaldin Mohammadi Golafshani

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GP coauthors/coeditors: Rashed Alsharif, Mehrdad Arashpour, M Reza Hosseini, Victor Chang, Jenny Zhou, Mostafa Amiri, Farzad Hatami, A Rahai, M H Sebt, Siamak Talatahari, Ali Behnood, Masood Nekoei, Seyed Amirhossein Moghaddas, A H Gandomi, Hossein Rezaei, Panam Zarfam, Gholamreza Ghodrati Amiri,

Genetic Programming Articles by Emadaldin Mohammadi Golafshani

  1. Hossein Rezaei and Panam Zarfam and Emadaldin Mohammadi Golafshani and Gholamreza Ghodrati Amiri. Development of seismic demand prediction models for bridges based on probability approach using symbolic regression method. Computer \& Structures, 282:106991, 2023. details

  2. Hossein Rezaei and Panam Zarfam and Emadaldin Mohammadi Golafshani and Gholamreza Ghodrati Amiri. Seismic fragility analysis of RC box-girder bridges based on symbolic regression method. Structures, 38:306-322, 2022. details

  3. Rashed Alsharif and Mehrdad Arashpour and Emadaldin Mohammadi Golafshani and M. Reza Hosseini and Victor Chang and Jenny Zhou. Machine learning-based analysis of occupant-centric aspects: Critical elements in the energy consumption of residential buildings. Journal of Building Engineering, 46:103846, 2022. details

  4. Mostafa Amiri and Farzad Hatami and Emadaldin Mohammadi Golafshani. Evaluating the synergic effect of waste rubber powder and recycled concrete aggregate on mechanical properties and durability of concrete. Case Studies in Construction Materials, 15:e00639, 2021. details

  5. Masood Nekoei and Seyed Amirhossein Moghaddas and Emadaldin Mohammadi Golafshani and Amir H. Gandomi. Introduction of ABCEP as an Automatic Programming Method. Information Sciences, 545:575-594, 2020. details

  6. Emadaldin Mohammadi Golafshani and Siamak Talatahari. Predicting the climbing rate of slip formwork systems using linear biogeography-based programming. Applied Soft Computing, 70:263-278, 2018. details

  7. Emadaldin Mohammadi Golafshani and Ali Behnood. Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete. Applied Soft Computing, 64:377-400, 2018. details

  8. E. M. Golafshani and A. Rahai and M. H. Sebt. Artificial neural network and genetic programming for predicting the bond strength of GFRP bars in concrete. Materials and Structures, 48(5) 2015. details