Genetic Programming Bibliography entries for Shahaboddin Shamshirband

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GP coauthors/coeditors: Mortaza Aghbashlo, Meisam Tabatabaei, Por Lip Yee, Yaser Nabavi Larimi, Eiman Tamah Al-Shammari, Afram Keivani, Ali Mostafaeipour, Dalibor Petkovic, Sudheer Ch, Zarko Cojbasic, Chong Wen Tong, Predrag Jankovic, Nedeljko Ducic, Jelena Baralic, Pezhman Taherei Ghazvinei, Shervin Motamedi, Hossein Hassanpour Darvishi, Ely Salwana, Amir Mosavi, Khamaruzaman bin Wan Yusof, Meysam Alizamir, Kwok-Wing Chau, Milan Gocic, Roslan Hashim, Muhammad Arif Syed Hamid, Chandrabhushan Roy, Siew Cheng Lee, Nima Izadyar, Hwai Chyuan Ong, Hossein Ghadamian, Zeinab moghadam, Shahab Kariminia, Ozgur Kisi, Jalal Shiri, Sepideh Karimi, Marjan Mansourvar, Ram Gopal Raj, Roshan Gunalan, Iman Mazinani, Zubaidah Binti Ismail, Ahmad Mustafa Hashim, Erfan Zalnezhad, Taher Baghaee Moghaddam, Mehrtash Soltani, Hamed Shahrokhi Shahraki, Noorzaily Bin Mohamed Noor, Mohamed Rehan Karim, Kasra Mohammadi, Mazdak Zamani, Juwel Chandra Mojumder, Wen Tong Chong, Behnaz Nahvi, Jafar Habibi, Othman Saleh Al Razgan, Sareh Naji, U Johnson Alengaram, Mohd Zamin Jumaat, Zulkefli Mansor, Malrey Lee, Vlastimir Nikolic, Mohammad Arif, Lanre Olatomiwa, Saad Mekhilef, Milan Protic, Almas Abbasi, Prof Dr Miss Laiha Binti Mat Kiah, Jawed Akhtar Unar, Ljiljana Zivkovic, Miomir Raos, Shahin Sajjadi, Azizah Abdul Manaf, Torki A Altameem, Siti Hafizah Abd Hamid,

Genetic Programming Articles by Shahaboddin Shamshirband

  1. Pezhman Taherei Ghazvinei and Hossein Hassanpour Darvishi and Amir Mosavi and Khamaruzaman bin Wan Yusof and Meysam Alizamir and Shahaboddin Shamshirband and Kwok-wing Chau. Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network. Engineering Applications of Computational Fluid Mechanics, 12(1):738-749, 2018. details

  2. Juwel Chandra Mojumder and Hwai Chyuan Ong and Wen Tong Chong and Nima Izadyar and Shahaboddin Shamshirband. The intelligent forecasting of the performances in PV/T collectors based on soft computing method. Renewable and Sustainable Energy Reviews, 72:1366-1378, 2017. details

  3. Pezhman Taherei Ghazvinei and Shahaboddin Shamshirband and Shervin Motamedi and Hossein Hassanpour Darvishi and Ely Salwana. Performance investigation of the dam intake physical hydraulic model using Support Vector Machine with a discrete wavelet transform algorithm. Computers and Electronics in Agriculture, 140:48-57, 2017. details

  4. Iman Mazinani and Zubaidah Binti Ismail and Shahaboddin Shamshirband and Ahmad Mustafa Hashim and Marjan Mansourvar and Erfan Zalnezhad. Estimation of Tsunami Bore Forces on a Coastal Bridge Using an Extreme Learning Machine. Entropy, 18(5) 2016. details

  5. Shahaboddin Shamshirband and Afram Keivani and Kasra Mohammadi and Malrey Lee and Siti Hafizah Abd Hamid and Dalibor Petkovic. Assessing the proficiency of adaptive neuro-fuzzy system to estimate wind power density: Case study of Aligoodarz, Iran. Renewable and Sustainable Energy Reviews, 59:429-435, 2016. details

  6. Shahin Sajjadi and Shahaboddin Shamshirband and Meysam Alizamir and Por Lip Yee and Zulkefli Mansor and Azizah Abdul Manaf and Torki A. Altameem and Ali Mostafaeipour. Extreme learning machine for prediction of heat load in district heating systems. Energy and Buildings, 122:222-227, 2016. details

  7. Vlastimir Nikolic and Shervin Motamedi and Shahaboddin Shamshirband and Dalibor Petkovic and Sudheer Ch and Mohammad Arif. Extreme learning machine approach for sensorless wind speed estimation. Mechatronics, 34:78-83, 2016. System-Integrated Intelligence: New Challenges for Product and Production Engineering. details

  8. Sareh Naji and Afram Keivani and Shahaboddin Shamshirband and U. Johnson Alengaram and Mohd Zamin Jumaat and Zulkefli Mansor and Malrey Lee. Estimating building energy consumption using extreme learning machine method. Energy, 97:506-516, 2016. details

  9. Behnaz Nahvi and Jafar Habibi and Kasra Mohammadi and Shahaboddin Shamshirband and Othman Saleh Al Razgan. Using self-adaptive evolutionary algorithm to improve the performance of an extreme learning machine for estimating soil temperature. Computers and Electronics in Agriculture, 124:150-160, 2016. details

  10. Taher Baghaee Moghaddam and Mehrtash Soltani and Hamed Shahrokhi Shahraki and Shahaboddin Shamshirband and Noorzaily Bin Mohamed Noor and Mohamed Rehan Karim. The use of SVM-FFA in estimating fatigue life of polyethylene terephthalate modified asphalt mixtures. Measurement, 90:526-533, 2016. details

  11. Shahab Kariminia and Shahaboddin Shamshirband and Shervin Motamedi and Roslan Hashim and Chandrabhushan Roy. A systematic extreme learning machine approach to analyze visitors' thermal comfort at a public urban space. Renewable and Sustainable Energy Reviews, 58:751-760, 2016. details

  12. Roslan Hashim and Chandrabhushan Roy and Shervin Motamedi and Shahaboddin Shamshirband and Dalibor Petkovic and Milan Gocic and Siew Cheng Lee. Selection of meteorological parameters affecting rainfall estimation using neuro-fuzzy computing methodology. Atmospheric Research, 171:21-30, 2016. details

  13. Zarko Cojbasic and Dalibor Petkovic and Shahaboddin Shamshirband and Chong Wen Tong and Sudheer Ch and Predrag Jankovic and Nedeljko Ducic and Jelena Baralic. Surface roughness prediction by extreme learning machine constructed with abrasive water jet. Precision Engineering, 43:86-92, 2016. details

  14. Eiman Tamah Al-Shammari and Afram Keivani and Shahaboddin Shamshirband and Ali Mostafaeipour and Por Lip Yee and Dalibor Petkovic and Sudheer Ch. Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm. Energy, 95:266-273, 2016. details

  15. Mortaza Aghbashlo and Shahaboddin Shamshirband and Meisam Tabatabaei and Por Lip Yee and Yaser Nabavi Larimi. The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste. Energy, 94:443-456, 2016. details

  16. Mehrtash Soltani and Taher Baghaee Moghaddam and Mohamed Rehan Karim and Shahaboddin Shamshirband and Ch Sudheer. Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm. Measurement, 63:232-239, 2015. details

  17. Shahaboddin Shamshirband and Kasra Mohammadi and Por Lip Yee and Dalibor Petkovic and Ali Mostafaeipour. A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation. Renewable and Sustainable Energy Reviews, 52:1031-1042, 2015. details

  18. Milan Protic and Shahaboddin Shamshirband and Dalibor Petkovic and Almas Abbasi and Miss Laiha Mat Kiah and Jawed Akhtar Unar and Ljiljana Zivkovic and Miomir Raos. Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm. Energy, 87:343-351, 2015. details

  19. Lanre Olatomiwa and Saad Mekhilef and Shahaboddin Shamshirband and Kasra Mohammadi and Dalibor Petkovic and Ch Sudheer. A support vector machine-firefly algorithm-based model for global solar radiation prediction. Solar Energy, 115:632-644, 2015. details

  20. Kasra Mohammadi and Shahaboddin Shamshirband and Por Lip Yee and Dalibor Petkovic and Mazdak Zamani and Sudheer Ch. Predicting the wind power density based upon extreme learning machine. Energy, 86:232-239, 2015. details

  21. Marjan Mansourvar and Shahaboddin Shamshirband and Ram Gopal Raj and Roshan Gunalan and Iman Mazinani. An Automated System for Skeletal Maturity Assessment by Extreme Learning Machines. PLoS ONE, 10(9) 2015. details

  22. Ozgur Kisi and Jalal Shiri and Sepideh Karimi and Shahaboddin Shamshirband and Shervin Motamedi and Dalibor Petkovic and Roslan Hashim. A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm. Applied Mathematics and Computation, 270:731-743, 2015. details

  23. Nima Izadyar and Hossein Ghadamian and Hwai Chyuan Ong and Zeinab moghadam and Chong Wen Tong and Shahaboddin Shamshirband. Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption. Energy, 93, Part 2:1558-1567, 2015. details

  24. Nima Izadyar and Hwai Chyuan Ong and Shahaboddin Shamshirband and Hossein Ghadamian and Chong Wen Tong. Intelligent forecasting of residential heating demand for the District Heating System based on the monthly overall natural gas consumption. Energy and Buildings, 104:208-214, 2015. details

  25. Milan Gocic and Shervin Motamedi and Shahaboddin Shamshirband and Dalibor Petkovic and Sudheer Ch and Roslan Hashim and Muhammad Arif. Soft computing approaches for forecasting reference evapotranspiration. Computers and Electronics in Agriculture, 113:164-173, 2015. details