Genetic Programming Bibliography entries for A H Gandomi

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GP coauthors/coeditors: A H Alavi, Ali Akbar Heshmati, Hossein Salehzadeh, Amin Askarinejad, Mojtaba Mirjalili, Mostafa Gandomi, Mohammad Ghasem Sahab, Mehdi Mousavi, Ali Mollahasani, Mahmoud Ameri, Mohammad Reza Mirzahosseini, Pejman Aminian, Milad Arab Esmaeili, Minoo Modaresnezhad, Jafar Bolouri Bazaz, Hadi Chahkandi Nejad, Azadeh Rashed, David John Lary, Mohamad Reza Javid, Abazar Asghari, Hadi Niroomand, Ali Ashrafian, Mohammad Rezaie-Balf, Mohammad Emadi, Saeed K Babanajad, D Mohammadzadeh Shadmehri, Mehdi Bagheri, Mehrdad Bagheri, Mohcen Shahbaznezhad, Tohid Nejad Ghaffar Borhani, Zainuddin Abdul Manan, Abidhan Bardhan, Pijush Samui, Kuntal Ghosh, Siddhartha Bhattacharyya, Alireza Mohammadi Bayazidi, Gai-Ge Wang, Hamed Bolandi, Mehdi Divsalar, Jahaniar Bamdad Soofi, Majid Vesali Mahmood, Alireza Farzinpour, Esmaeil Mohammadi Dehcheshmeh, Vahid Broujerdian, Samira Nasr Esfahani, Iztok Fister, Iztok Fister Jr, Ali Farhadi, S S Sadat Hosseini, M Safari Gorji, Shohreh Kazemi, Mohammad Mehdi Ali Nia, A Taghipour, Parvin Arjmandi, Alireza Aghaeifar, Reza Seyednour, Gunjin Yun, Fereidoon Moghaddas Nejad, Seyed Morteza Tabatabaei, Mohammad Hossein Moradian, Ata Radfar, Yaghoob Farnam, Xin-She Yang, Siamak Talatahari, David Roke, T O Ting, Kallol Sett, Ali Matin Nazar, Ali Faramarzifar, Peyman Ghanad Rezaee, Sadegh Kazemi, Juan Luis Perez, Conor Ryan, Behnam Kiani, Robert Y Liang, Siavash Sajedi, Qindan Huang, Ehsan Atefi, Ali R Kashani, Mohsen Akhani, Sadjad Gharehbaghi, S Achakpour, Mohammad Nabi Omidvar, Vagelis Plevris, Hassan Gharoun, Mohammad Sadegh Khorshidi, Navid Yazdanjue, Fang Chen, Aleksandr V Grin, Danial Yazdani, Jacek Mandziuk, Mohammad Reza Nikoo, Kurugodu Harsha Vardhan, Sanandam Bordoloi, Yi Hong, Ankit Garg, Akhil Garg, Sekharan Sreedeep, Annette L Walker, Ali Danandeh Mehr, Yacoub Mohd Najjar, Mohammad Hossein Moradi, M A Pashabavandpour, Seyyed Mohammad Mousavi, Mohsen Mousavi, Magd Abdel Wahab, Masood Nekoei, Seyed Amirhossein Moghaddas, Emadaldin Mohammadi Golafshani, Alireza Sadat Hosseini, Pouria Hajikarimi, Amir Kabiri, Mehdi Shafieefar, Rohit Salgotra, Masoud Sarveghadi, Sohrab Sharifi, Saeed Abrishami, Ataollah Taghipour Anvari, Amirhessam Tahmassebi, Ian McCann, Mieke H J Schulte, Lianne Schmaal, Anna E Goudriaan, Anke Meyer-Baese, Akbar Telikani, Asadollah Shahbahrami, Wolfgang Banzhaf, Jurgen Branke, Xiaodong Li, Xin Yao, Shahriar Afandizadeh Zargari, Salar Zabihi Siabil,

Genetic Programming Articles by A H Gandomi

  1. Ataollah Taghipour Anvari and Saeed Babanajad and Amir H. Gandomi. Data-Driven Prediction Models For Total Shear Strength of Reinforced Concrete Beams With Fiber Reinforced Polymers Using An Evolutionary Machine Learning Approach. Engineering Structures, 276:115292, 2023. details

  2. Alireza Sadat Hosseini and Amir Kabiri and Amir H. Gandomi and Mehdi Shafieefar. Genetic programming for the prediction of berm breakwaters recession. Ocean Engineering, 279:114465, 2023. details

  3. Alireza Farzinpour and Esmaeil Mohammadi Dehcheshmeh and Vahid Broujerdian and Samira Nasr Esfahani and Amir H. Gandomi. Efficient boosting-based algorithms for shear strength prediction of squat RC walls. Case Studies in Construction Materials, 18:e01928, 2023. details

  4. Amir H Gandomi and David Roke. A Multi-Objective Evolutionary Framework for Formulation of Nonlinear Structural Systems. IEEE Transactions on Industrial Informatics, 18(9):5795-5803, 2022. details

  5. Akbar Telikani and Amirhessam Tahmassebi and Wolfgang Banzhaf and Amir H. Gandomi. Evolutionary Machine Learning: A Survey. ACM Computing Surveys, 54(8):Article 161, 2021. details

  6. Alireza Sadat Hosseini and Pouria Hajikarimi and Mostafa Gandomi and Fereidoon Moghadas Nejad and Amir H. Gandomi. Genetic programming to formulate viscoelastic behavior of modified asphalt binder. Construction and Building Materials, 286:122954, 2021. details

  7. Ali Danandeh Mehr and Amir H. Gandomi. MSGP-LASSO: An improved multi-stage genetic programming model for streamflow prediction. Information Sciences, 561:181-195, 2021. details

  8. Sadjad Gharehbaghi and Mostafa Gandomi and Vagelis Plevris and Amir H. Gandomi. Prediction of seismic damage spectra using computational intelligence methods. Computer \& Structures, 253:106584, 2021. details

  9. Mostafa Gandomi and Ali R. Kashani and Ali Farhadi and Mohsen Akhani and Amir H. Gandomi. Spectral acceleration prediction using genetic programming based approaches. Applied Soft Computing, 106:107326, 2021. details

  10. Abidhan Bardhan and Pijush Samui and Kuntal Ghosh and Amir H. Gandomi and Siddhartha Bhattacharyya. ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions. Applied Soft Computing, 110:107595, 2021. details

  11. Akbar Telikani and Amir H. Gandomi and Asadollah Shahbahrami. A survey of evolutionary computation for association rule mining. Information Sciences, 524:318-352, 2020. details

  12. Sohrab Sharifi and Saeed Abrishami and Amir H. Gandomi. Consolidation assessment using Multi Expression Programming. Applied Soft Computing, 86:105842, 2020. details

  13. Rohit Salgotra and Mostafa Gandomi and Amir H. Gandomi. Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries. Chaos, Soliton \& Fractals, 140:110118, 2020. details

  14. Rohit Salgotra and Mostafa Gandomi and Amir H Gandomi. Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming. Chaos, Soliton \& Fractals, 138:109945, 2020. details

  15. 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

  16. Amir H. Gandomi and Ehsan Atefi. Software review: the GPTIPS platform. Genetic Programming and Evolvable Machines, 21(1-2):273-280, 2020. Software review. details

  17. Ali Ashrafian and Amir H. Gandomi and Mohammad Rezaie-Balf and Mohammad Emadi. An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement. Measurement, 152:107309, 2020. details

  18. Masoud Sarveghadi and Amir H. Gandomi and Hamed Bolandi and Amir H. Alavi. Development of prediction models for shear strength of SFRCB using a machine learning approach. Neural Computing and Applications, 31(7):2085-2094, 2019. details

  19. Amirhessam Tahmassebi and Amir H. Gandomi. Building energy consumption forecast using multi-objective genetic programming. Measurement, 118:164-171, 2018. details

  20. H. V. Kurugodu and Sanandam Bordoloi and Yi Hong and Ankit Garg and Akhil Garg and Sekharan Sreedeep and A. H. Gandomi. Genetic programming for soil-fiber composite assessment. Advances in Engineering Software, 122:50-61, 2018. details

  21. Sadjad Gharehbaghi and A. H. Gandomi and S. Achakpour and Mohammad Nabi Omidvar. A hybrid computational approach for seismic energy demand prediction. Expert Systems with Applications, 110:335-351, 2018. details

  22. Amir H. Gandomi and Amir H. Alavi and Mostafa Gandomi and Sadegh Kazemi. Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement. Measurement, 95:367-376, 2017. details

  23. Saeed K. Babanajad and Amir H. Gandomi and Amir H. Alavi. New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach. Advances in Engineering Software, 2017. details

  24. David J. Lary and Amir H. Alavi and Amir H. Gandomi and Annette L. Walker. Machine learning in geosciences and remote sensing. Geoscience Frontiers, 7(1):3-10, 2016. details

  25. Behnam Kiani and Amir H. Gandomi and Siavash Sajedi and Robert Y. Liang. New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach. Journal of Materials in Civil Engineering, 28(10) 2016. details

  26. Amir H. Gandomi and Siavash Sajedi and Behnam Kiani and Qindan Huang. Genetic programming for experimental big data mining: A case study on concrete creep formulation. Automation in Construction, 70:89-97, 2016. details

  27. Amir H. Alavi and Amir H. Gandomi and David J. Lary. Progress of machine learning in geosciences: Preface. Geoscience Frontiers, 7(1):1-2, 2016. Editorial. details

  28. Mohammadreza Mirzahosseini and Yacoub M. Najjar and Amir H. Alavi and Amir H. Gandomi. Next-Generation Models for Evaluation of the Flow Number of Asphalt Mixtures. International Journal of Geomechanics, 15(6):04015009, 2015. details

  29. Amir H. Gandomi and Gun Jin Yun. Coupled SelfSim and genetic programming for non-linear material constitutive modelling. Inverse Problems in Science and Engineering, 23(7):1101-1119, 2015. details

  30. Amir H. Gandomi and David A. Roke. Assessment of artificial neural network and genetic programming as predictive tools. Advances in Engineering Software, 88:63-72, 2015. details

  31. Amir H. Gandomi and Ali Faramarzifar and Peyman Ghanad Rezaee and Abazar Asghari and Siamak Talatahari. New Design Equations for Elastic Modulus of Concrete Using Multi Expression Programming. Journal of Civil Engineering and Management, 21(6):761-774, 2015. details

  32. Amir Hossein Gandomi and Amir Hossein Alavi and Abazar Asghari and Hadi Niroomand and Ali Matin Nazar. An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames. Neural Computing and Applications, 24(6):1285-1291, 2014. details

  33. Amir H. Gandomi and Amir H. Alavi and Sadegh Kazemi and Mostafa Gandomi. Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement. Automation in Construction, 42:112-121, 2014. details

  34. Amir H. Gandomi and Danial Mohammadzadeh S. and Juan Luis Perez-Ordonez and Amir H. Alavi. Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups. Applied Soft Computing, 19:112-120, 2014. details

  35. Iztok Fister and Amir H. Gandomi and Iztok Fister, Jr. and Mehdi Mousavi and Ali Farhadi. Soft Computing in Earthquake Engineering: a Short Overview. International Journal of Earthquake Engineering and Hazard Mitigation, 2(2):42-48, 2014. details

  36. Alireza Mohammadi Bayazidi and Gai-Ge Wang and Hamed Bolandi and Amir H. Alavi and Amir H. Gandomi. Multigene Genetic Programming for Estimation of Elastic Modulus of Concrete. Mathematical Problems in Engineering, 2014. details

  37. M. Bagheri and T. N. G. Borhani and A. H. Gandomi and Z. A. Manan. A simple modelling approach for prediction of standard state real gas entropy of pure materials. SAR and QSAR in Environmental Research, 25(9):695-710, 2014. details

  38. Mehdi Bagheri and Amir Hossein Gandomi and Mehrdad Bagheri and Mohcen Shahbaznezhad. Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials. Expert Systems, 30(1):66-78, 2013. details

  39. Seyyed Mohammad Mousavi and Amir Hossein Alavi and Ali Mollahasani and Amir Hossein Gandomi and Milad Arab Esmaeili. Formulation of soil angle of shearing resistance using a hybrid GP and OLS method. Engineering with Computers, 29(1):37-53, 2013. details

  40. Amir Hossein Gandomi and Gun Jin Yun and Amir Hossein Alavi. An evolutionary approach for modeling of shear strength of RC deep beams. Materials and Structures, 46(12):2109-2119, 2013. details

  41. Amir Hossein Gandomi and Amir Hossein Alavi. Hybridizing Genetic Programming with Orthogonal Least Squares for Modeling of Soil Liquefaction. International Journal of Earthquake Engineering and Hazard Mitigation, 1(1):2-8, 2013. details

  42. Amir H. Gandomi and David A. Roke and Kallol Sett. Genetic programming for moment capacity modeling of ferrocement members. Engineering Structures, 57:169-176, 2013. details

  43. A. H. Gandomi and A. H. Alavi and D. Mohammadzadeh Shadmehri and M. G. Sahab. An empirical model for shear capacity of RC deep beams using genetic-simulated annealing. Archives of Civil and Mechanical Engineering, 13(3):354-369, 2013. details

  44. Saeed K. Babanajad and Amir H. Gandomi and Danial Mohammadzadeh S. and Amir H. Alavi. Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming. Automation in Construction, 36:136-144, 2013. details

  45. Pejman Aminian and Hadi Niroomand and Amir Hossein Gandomi and Amir Hossein Alavi and Milad Arab Esmaeili. New design equations for assessment of load carrying capacity of castellated steel beams: a machine learning approach. Neural Computing and Applications, 23(1):119-131, 2013. details

  46. Amir Hossein Alavi and Amir Hossein Gandomi and Hadi Chahkandi Nejad and Ali Mollahasani and Azadeh Rashed. Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems. Neural Computing and Applications, 23(6):1771-1786, 2013. details

  47. Seyyed Soheil Sadat Hosseini and Amir Hossein Gandomi. Short-term load forecasting of power systems by gene expression programming. Neural Computing and Applications, 21(2):377-389, 2012. details

  48. Amir Hossein Gandomi and Amir Hossein Alavi. A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems. Neural Computing and Applications, 21(1):189-201, 2012. details

  49. Amir Hossein Gandomi and Amir Hossein Alavi. A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems. Neural Computing and Applications, 21(1):171-187, 2012. details

  50. Seyyed Mohammad Mousavi and Pejman Aminian and Amir Hossein Gandomi and Amir Hossein Alavi and Hamed Bolandi. A new predictive model for compressive strength of HPC using gene expression programming. Advances in Engineering Software, 45(1):105-114, 2012. details

  51. Shahriar Afandizadeh Zargari and Salar Zabihi Siabil and Amir Hossein Alavi and Amir Hossein Gandomi. A computational intelligence-based approach for short-term traffic flow prediction. Expert Systems, 29(2):124-142, 2012. details

  52. Amir Hossein Gandomi and Saeed Karim Babanajad and Amir Hossein Alavi and Yaghoob Farnam. Novel Approach to Strength Modeling of Concrete under Triaxial Compression. Journal of Materials in Civil Engineering, 24(9):1132-1143, 2012. details

  53. Amir Hossein Alavi and Amir Hossein Gandomi. Energy-based numerical models for assessment of soil liquefaction. Geoscience Frontiers, 3(4):541-555, 2012. details

  54. Pejman Aminian and Mohamad Reza Javid and Abazar Asghari and Amir Hossein Gandomi and Milad Arab Esmaeili. A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method. Neural Computing and Applications, 20(8):1321-1332, 2011. details

  55. Mehdi Divsalar and Mohamad Rezi Javid and Amir Hossein Gandomi and Jahaniar Bamdad Soofi and Majid Vesali Mahmood. Hybrid Genetic Programming-Based Search Algorithms for Enterprise bankruptcy Prediction. Applied Artificial Intelligence, 25(8):669-692, 2011. details

  56. Seyyed Mohammad Mousavi and Amir Hossein Alavi and Amir Hossein Gandomi and Ali Mollahasani. Nonlinear genetic-based simulation of soil shear strength parameters. Journal of Earth System Science, 120(6):1001-1022, 2011. details

  57. Seyyed Mohammad Mousavi and Amir Hossein Alavi and Ali Mollahasani and Amir Hossein Gandomi. A hybrid computational approach to formulate soil deformation moduli obtained from PLT. Engineering Geology, 123(4):324-332, 2011. details

  58. Ali Mollahasani and Amir Hossein Alavi and Amir Hossein Gandomi. Empirical modeling of plate load test moduli of soil via gene expression programming. Computers and Geotechnics, 38(2):281-286, 2011. details

  59. Mohammad Reza Mirzahosseini and Alireza Aghaeifar and Amir Hossein Alavi and Amir Hossein Gandomi and Reza Seyednour. Permanent deformation analysis of asphalt mixtures using soft computing techniques. Expert Systems with Applications, 38(5):6081-6100, 2011. details

  60. A. H. Gandomi and A. H. Alavi and G. J. Yun. Nonlinear modeling of shear strength of SFRC beams using linear genetic programming. Structural Engineering and Mechanics, An International Journal, 38(1):1-25, 2011. details

  61. Amir Hossein Gandomi and Amir Hossein Alavi and Gun Jin Yun. Formulation of uplift capacity of suction caissons using multi expression programming. KSCE Journal of Civil Engineering, 15(2):363-373, 2011. details

  62. Amir Hossein Gandomi and Amir Hossein Alavi and Mohammad Reza Mirzahosseini and Fereidoon Moghadas Nejad. Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures. ASCE Journal of Materials in Civil Engineering, 23(3):248-263, 2011. details

  63. Amir Hossein Gandomi and Amir Hossein Alavi and Mehdi Mousavi and Seyed Morteza Tabatabaei. A hybrid computational approach to derive new ground-motion prediction equations. Engineering Applications of Artificial Intelligence, 24(4):717-732, 2011. details

  64. Amir Hossein Gandomi and Amir Hossein Alavi. Multi-stage genetic programming: A new strategy to nonlinear system modeling. Information Sciences, 181(23):5227-5239, 2011. details

  65. Amir Hossein Gandomi and Seyed Morteza Tabatabaei and Mohammad Hossein Moradian and Ata Radfar and Amir Hossein Alavi. A new prediction model for the load capacity of castellated steel beams. Journal of Constructional Steel Research, 67(7):1096-1105, 2011. details

  66. Amir Hossein Alavi and Amir Hossein Gandomi and Minoo Modaresnezhad and Mehdi Mousavi. New Ground-Motion Prediction Equations Using Multi Expression Programing. Journal of Earthquake Engineering, 15(4):511-536, 2011. details

  67. Amir Hossein Alavi and Amir Hossein Gandomi. A Robust Data Mining Approach for Formulation of Geotechnical Engineering Systems. International Journal of Computer Aided Methods in Engineering-Engineering Computations, 28(3):242-274, 2011. details

  68. Amir Hossein Alavi and Mahmoud Ameri and Amir Hossein Gandomi and Mohammad Reza Mirzahosseini. Formulation of Flow Number of Asphalt Mixes Using a Hybrid Computational Method. Construction and Building Materials, 25(3):1338-1355, 2011. details

  69. Amir Hossein Alavi and Pejman Aminian and Amir Hossein Gandomi and Milad Arab Esmaeili. Genetic-based modeling of uplift capacity of suction caissons. Expert Systems with Applications, 38(10):12608-12618, 2011. details

  70. S. M. Mousavi and A. H. Alavi and A. H. Gandomi and M. Arab Esmaeili and M. Gandomi. A Data Mining Approach to Compressive Strength of CFRP-Confined Concrete Cylinders. Structural Engineering and Mechanics, 36(6):759-783, 2010. details

  71. S. M. Mousavi and A. H. Gandomi and A. H. Alavi and M. Vesalimahmood. Modeling of Compressive Strength of HPC Mixes Using a Combined Algorithm of Genetic Programming and Orthogonal Least Squares. Structural Engineering and Mechanics, 36(2):225-241, 2010. details

  72. A. H. Gandomi. Discussion: Neural Network -- Genetic Programming for Sediment Transport. Maritime Engineering, 163(3):135-136, 2010. details

  73. Amir Hossein Gandomi and Amir Hossein Alavi and Mohammad Ghasem Sahab and Parvin Arjmandi. Formulation of elastic modulus of concrete using linear genetic programming. Journal of Mechanical Science and Technology, 24(6):1273-1278, 2010. details

  74. A. H. Gandomi and A. H. Alavi and A. Taghipour. Discussion on ``Alternative data-driven methods to estimate wind from waves by inverse modeling'' by Mansi Daga, M. C. Deo [Natural Hazards (2008) NHAZ 524, Article 9299, DOI 10.1007/s11069-008-9299-2]. Natural Hazards, 52(3):671-673, 2010. details

  75. Amir Hossein Gandomi and Amir Hossein Alavi and Mohammad Ghasem Sahab. New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming. Materials and Structures, 43(7):963-983, 2010. details

  76. Amir Hossein Gandomi and Amir Hossein Alavi and Parvin Arjmandi and Alireza Aghaeifar and Reza Seyednour. Genetic programming and orthogonal least squares: a hybrid approach to modeling the compressive strength of CFRP-confined concrete cylinders. Journal of Mechanics of Materials and Structures, 5(5):735-753, 2010. details

  77. A. H. Alavi and A. H. Gandomi and M. Gandomi. Comment on 'Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623-628'. Hydrological Processes, 24(6):798-799, 2010. details

  78. Amir Hossein Alavi and Amir Hossein Gandomi and Mehdi Mousavi and Ali Mollahasani. High-Precision Modeling of Uplift Capacity of Suction Caissons Using a Hybrid Computational Method. Geomechanics and Engineering, 2(4):253-280, 2010. details

  79. Amir Hossein Alavi and Amir Hossein Gandomi and Mohammad Ghasem Sahab and Mostafa Gandomi. Multi Expression Programming: A New Approach to Formulation of Soil Classification. Engineering with Computers, 26(2):111-118, 2010. details

  80. A. H. Alavi and A. H. Gandomi and A. A. R. Heshmati. Discussion on "Soft computing approach for real-time estimation of missing wave heights" by S.N. Londhe [Ocean Engineering 35 (2008) 1080-1089]. Ocean Engineering, 37(13):1239-1240, 2010. details

  81. A. H. Gandomi and A. H. Alavi and S. Kazemi and M. M. Alinia. Behavior appraisal of steel semi-rigid joints using Linear Genetic Programming. Journal of Constructional Steel Research, 65(8-9):1738-1750, 2009. details

  82. A. H. Gandomi and A. H. Alavi and S. S. Sadat Hosseini. A Discussion on "Genetic programming for retrieving missing information in wave records along the west coast of India" [Applied Ocean Research 2007; 29 (3): 99-111]. Applied Ocean Research, 30(4):338-339, 2008. details

Genetic Programming Books by A H Gandomi

Genetic Programming conference papers by A H Gandomi

  1. Mohammad Sadegh Khorshidi and Navid Yazdanjue and Hassan Gharoun and Danial Yazdani and Mohammad Reza Nikoo and Fang Chen and Amir H. Gandomi. Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming. In Amir H Gandomi editor, GECCO Student Workshop, pages 2099-2102, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Hassan Gharoun and Mohammad Sadegh Khorshidi and Navid Yazdanjue and Fang Chen and Amir H. Gandomi. Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence. In Amir H Gandomi editor, GECCO Student Workshop, pages 2095-2098, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Mohammad Sadegh Khorshidi and Danial Yazdani and Jacek Mandziuk and Mohammad Reza Nikoo and Amir H. Gandomi. A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis. In Gui DeSouza and Gary Yen editors, 2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA, 2023. details

  4. Amir H Gandomi. Evolutionary Computation for Intelligent Data Analytics. In 2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI), pages 000011-000012, 2023. details

  5. Mohsen Mousavi and Amir H. Gandomi and Magd Abdel Wahab. Structural Damage Identification under Non-linear EOV Effects Using Genetic Programming. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 317-318, internet, 2021. Association for Computing Machinery. details

  6. Aleksandr V Grin and Amir H Gandomi. Advancing Genetic Programming via Information Theory. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 1991-1998, Krakow, Poland, 2021. details

  7. Amirhessam Tahmassebi and Amir H. Gandomi and Anke Meyer-Baese. A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction. In Marley Vellasco editor, 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE. details

  8. Amirhessam Tahmassebi and Amir H. Gandomi and Anke Meyer-Baese. An Evolutionary Online Framework for MOOC Performance Using EEG Data. In Marley Vellasco editor, 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE. details

  9. Amir H. Gandomi. Evolutionary Data Mining in Aerospace. In Biocene 2018, Ohio Aerospace Institute, Cleveland, USA, 2018. details

  10. A. H. Gandomi. Multi-objective Genetic Programming for Classification and Regression Problems. In BEACON Congress 2018, Michigan State University, USA, 2018. details

  11. Amirhessam Tahmassebi and Amir H. Gandomi and Ian McCann and Mieke H. J. Schulte and Lianne Schmaal and Anna E. Goudriaan and Anke Meyer-Baese. An evolutionary approach for fMRI big data classification. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1029-1036, Donostia, San Sebastian, Spain, 2017. IEEE. details

  12. Amirhessam Tahmassebi and Amir H. Gandomi and Ian McCann and Mieke H. J. Schulte and Lianne Schmaal and Anna E. Goudriaan and Anke Meyer-Baese. fMRI Smoking Cessation Classification Using Genetic Programming. In Workshop on Data Science meets Optimization, Spain, 2017. details

  13. Amirhessam Tahmassebi and Amir H. Gandomi and Anke Meyer-Baese. High Performance GP-Based Approach for fMRI Big Data Classification. In Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, PEARC17, pages 57:1-57:4, New Orleans, LA, USA, 2017. ACM. details

  14. Amirhessam Tahmassebi and Amir H. Gandomi. Genetic Programming Based on Error Decomposition: A Big Data Approach. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 135-147, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  15. Amir H. Gandomi and Behnam Kiani and Robert Y. Liang. Genetic programming for concrete modeling. In Giovanni Giuffrida editor, The 2nd International Workshop on Machine learning, Optimization and big Data, Volterra, Pisa, Italy, 2016. details

  16. A. H. Gandomi and D. A. Roke. Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming. In Glenn Bell and Matt A. Card editors, Structures Congress 2014, pages 1221-1232, Boston, USA, 2014. American Society of Civil Engineers. details

  17. Amir Hossein Gandomi and Amir Hossein Alavi and T. O. Ting and Xin-She Yang. Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming. In Ying Tan and Yuhui Shi and Hongwei Mo editors, Proceedings of the 4th International Conference on Advances in Swarm Intelligence, ICSI 2013, Part I, volume 7928, pages 564-571, Harbin, China, 2013. Springer. details

  18. Mohammadreza Mirzahosseini and Yacoub M. Najjar and Amir Hossein Alavi and Amir Hossein Gandomi. ANN-Based Prediction Model for Rutting Propensity of Asphalt Mixtures. In The 92nd Transportation Research Board (TRB) Annual Meeting, pages Paper No. 13-2180, Washington, D.C., USA, 2013. details

  19. A. H. Gandomi and D. A. Roke. Intelligent formulation of structural engineering systems. In Seventh M.I.T. Conference on Computational Fluid and Solid Mechanics -- Focus: Multiphysics \& Multiscale, Cambridge, MA 02142, USA, 2013. details

  20. Ali Mollahasani and Amir Hossein Alavi and Amir Hossein Gandomi and Jafar Boluori Bazaz. A New Prediction Model for Soil Deformation Modulus Based on PLT Results. In Rodian Scinteie and Constantin Ionescu editors, Proceedings of the 9th International Symposium on Computational Civil Engineering, New Approaches in Numerical Analysis in Civil Engineering, 2011, pages 53-61, Iasi, Romania, 2011. details

  21. Mohammadreza R. Mirzahosseini and Amirhossein H. Alavi and Fereidoon Moghadas Nejad and Amirhossein H. Gandomi and Mahmoud Ameri. Evaluation of Rutting Potential of Asphalt Mixtures Using Linear Genetic Programming. In The 11th International Conference on Asphalt Pavements (ISAP 2010), volume 2, pages 1527-1536?, Nagoya, Japan, 2010. Curran Associates, Inc. (Sep 2011). details

  22. Amir Hossein Alavi and Amir Hossein Gandomi. Nonlinear Modeling of Liquefaction Behavior of Sand-Silt Mixtures in terms of Strain Energy. In Rodian Scinteie and Costel Plescan editors, Proceedings of the 8th International Symposium on Highway and Bridge Engineering, Technology and Innovation in Transportation Infrastructure, 2010, pages 50-69, Iasi, Romania, 2010. details

  23. A. A. R. Heshmati and M. G. Sahab and A. H. Alavi and A. H. Gandomi. Soil Classification Using a Combined Algorithm of Simulated Annealing and Genetic Programming. In Nasser Talebbeydokbti editor, The 8th International Congress on Civil Engineering, page Number G0273, Shiraz University, Shiraz, Iran, 2009. details

  24. M. Moradi and A. H. Alavi and M. A. Pashabavandpour and A. H. Gandomi and A. Askarinejad. Soft Computing-Based approaches for the Prediction of Compressive Strength of Lime-Microsilica Stabilized Clayey Soils. In Constantin Ionescu and Alex Horia Barbat and Rodian Scinteie and Alina Mihaela Nicuta editors, Proceedings of the Sixth International Symposium on Computational Civil Engineering, Computational Models for Civil Engineering, pages 350-365, Iasi, Romania, 2008. details

  25. A. H. Gandomi and A. H. Alavi and M. G. Sahab and M. Gandomi and M. Safari Gorji. Empirical Models for the Prediction of Flexural Resistance and Initial Stiffness of Welded Beam-Column Joints. In Proceedings of the 11th East Asia-Pacific Conference on Structural Engineering \& Construction (EASEC-11), Taipei, Taiwan, 2008. details

  26. A. H. Alavi and A. A. Heshmati and A. H. Gandomi and A. Askarinejad and M. Mirjalili. Utilisation of Computational Intelligence Techniques for Stabilised Soil. In M. Papadrakakis and B. H. V. Topping editors, Proceedings of the Sixth International Conference on Engineering Computational Technology, volume 89, page Paper 175, Athens, 2008. Civil-Comp Press. details

  27. A. H. Alavi and A. A. Heshmati and H. Salehzadeh and A. H. Gandomi and A. Askarinejad. Soft Computing Based Approaches for High Performance Concrete. In M. Papadrakakis and B. H. V. Topping editors, Proceedings of the Sixth International Conference on Engineering Computational Technology, volume 89, page Paper 86, Athens, 2008. Civil-Comp Press. details

Genetic Programming book chapters by A H Gandomi

  1. Rohit Salgotra and Amir H. Gandomi. Time series analysis of the COVID-19 pandemic in Australia using genetic programming. In Utku Kose and Deepak Gupta and Victor Hugo C. de Albuquerque and Ashish Khanna editors, Data Science for COVID-19, chapter 21, pages 399-411. Academic Press, 2021. details

  2. Amir H. Gandomi and Amir H. Alavi and Conor Ryan. Foreword. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications. Springer, 2015. details

  3. Amir Hossein Gandomi and Amir Hossein Alavi. Expression Programming Techniques for Formulation of Structural Engineering Systems. In Amir Hossein Gandomi and Xin-She Yang and Siamak Talatahari and Amir Hossein Alavi editors, Metaheuristic Applications in Structures and Infrastructures, chapter 18, pages 439-455. Elsevier, Oxford, 2013. details

  4. Amir Hossein Gandomi and Xin-She Yang and Siamak Talatahari and Amir Hossein Alavi. Metaheuristic Algorithms in Modeling and Optimization. In Amir Hossein Gandomi and Xin-She Yang and Siamak Talatahari and Amir Hossein Alavi editors, Metaheuristic Applications in Structures and Infrastructures, chapter 1, pages 1-24. Elsevier, Oxford, 2013. details

  5. Amir Hossein Alavi and Amir Hossein Gandomi and Ali Mollahasani and Jafar Bolouri Bazaz. Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems. In Xin-She Yang and Amir Hossein Gandomi and Siamak Talatahari and Amir Hossein Alavi editors, Metaheuristics in Water, Geotechnical and Transport Engineering, chapter 12, pages 289-310. Elsevier, Oxford, 2013. details

  6. Amir Hossein Alavi and Amir Hossein Gandomi and Ali Mollahasani. A Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized Soil. In Raymond Chiong and Thomas Weise and Zbigniew Michalewicz editors, Variants of Evolutionary Algorithms for Real-World Applications, chapter 9, pages 343-376. Springer, 2012. details

  7. Amir Hossein Gandomi and Amir Hossein Alavi. Applications of Computational Intelligence in Behavior Simulation of Concrete Materials. In Xin-She Yang and Slawomir Koziel editors, Computational Optimization and Applications in Engineering and Industry, volume 359 of Studies in Computational Intelligence, chapter 9, pages 221-243. Springer, 2011. details

Genetic Programming other entries for A H Gandomi