Genetic Programming Bibliography entries for Gul Muhammad Khan

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GP coauthors/coeditors: Arbab Masood Ahmad, Sahibzada Ali Mahmud, Julian F Miller, Rabia Arshad, David M Halliday, Atif Rashid Khattak, Faheem Zafari, Jawad Ali, Fahad Ullah, Maryam Mahsal Khan, Nadia Masood Khan, Musa Khan, G Khattak, Muhammad Salman Khan, Fernando Huenupan, Gloria Curilem Saldias, Umer Khayam, Durre Nayab, Niaz Muhammad, Syed Waqar Shah, Abdul Rehman, Mehreen Rehman, Qazi Zia Ullah, Shahzad Hassan, Asif Iqbal, Farman Ullah, Kyung Sup Kwak,

Genetic Programming Articles by Gul Muhammad Khan

  1. Qazi Zia Ullah and Gul Muhammad Khan and Shahzad Hassan and Asif Iqbal and Farman Ullah and Kyung Sup Kwak. A Cartesian Genetic Programming Based Parallel Neuroevolutionary Model for Cloud Server's CPU Usage Prediction. Electronics, 10(1) 2021. details

  2. Qazi Zia Ullah and Gul Muhammad Khan and Shahzad Hassan. Cloud Infrastructure Estimation and Auto-Scaling Using Recurrent Cartesian Genetic Programming-Based ANN. IEEE Access, 8:17965-17985, 2020. details

  3. Gul Muhammad Khan and Faheem Zafari. Dynamic feedback neuro-evolutionary networks for forecasting the highly fluctuating electrical loads. Genetic Programming and Evolvable Machines, 17(4):391-408, 2016. details

  4. Gul Muhammad Khan and Rabia Arshad and Sahibzada Ali Mahmud and Fahad Ullah. Intelligent Bandwidth Estimation for Variable Bit Rate Traffic. IEEE Transactions on Evolutionary Computation, 19(1):151-155, 2015. details

  5. Faheem Zafari and Gul Muhammad Khan and Mehreen Rehman and Sahibzada Ali Mahmud. Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates. Applied Artificial Intelligence, 28(6):597-628, 2014. details

  6. Mehreen Rehman and Gul Muhammad Khan and Sahibzada Ali Mahmud. Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network. IERI Procedia, 10:239-244, 2014. International Conference on Future Information Engineering (FIE 2014). details

  7. Maryam Mahsal Khan and Arbab Masood Ahmad and Gul Muhammad Khan and Julian F. Miller. Fast learning neural networks using Cartesian genetic programming. Neurocomputing, 121:274-289, 2013. details

  8. Gul Muhammad Khan and Julian F. Miller and David M. Halliday. Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture. Evolutionary Computation, 19(3):469-523, 2011. details

Genetic Programming Books by Gul Muhammad Khan

Genetic Programming conference papers by Gul Muhammad Khan

  1. Niaz Muhammad and Syed Waqar Shah and Gul Muhammad Khan. Evolving computationally efficient prediction model for Stock Volatility using CGPANN. In 2022 2nd International Conference on Artificial Intelligence (ICAI), pages 132-139, 2022. details

  2. Musa Khan and Gul Muhammad Khan. COVID-19 Spread Prediction and Its Impact on the Stock market price. In 2022 2nd International Conference on Artificial Intelligence (ICAI), pages 140-146, Islamabad, Pakistan, 2022. details

  3. Nadia Masood Khan and Gul Muhammad Khan. Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN). In Xuewen Chen and Bo Luo and Feng Luo and Vasile Palade and M. Arif Wani editors, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 568-573, Cancun, Mexico, 2017. IEEE. details

  4. G. Khattak and M. S. Khan and G. M. Khan and F. Huenupan and M. Curilem. Automatic classification of seismic signals of the chilean Llaima Volcano using cartesian genetic programming based artificial neural network. In 8th International Conference of Pattern Recognition Systems (ICPRS 2017), Madrid, Spain, 2017. details

  5. Gul Muhammad Khan and Rabia Arshad and Nadia Masood Khan. Efficient Prediction of Dynamic Tariff in Smart Grid Using CGP Evolved Artificial Neural Networks. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 493-498, 2017. details

  6. Umer Khayam and Durre Nayab and Gul Muhammad Khan and Sahibzada Ali Mahmud. Features Extraction of Growth Trend in Social Websites Using Non-linear Genetic Programming. In Lazaros S. Iliadis and Ilias Maglogiannis and Harris Papadopoulos editors, Artificial Intelligence Applications and Innovations - 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings, volume 436, pages 414-423, 2014. Springer. details

  7. Arbab Masood Ahmad and Gul Muhammad Khan and Sahibzada Ali Mahmud. Classification of Mammograms Using Cartesian Genetic Programming Evolved Artificial Neural Networks. In Lazaros S. Iliadis and Ilias Maglogiannis and Harris Papadopoulos editors, Proceedings 10th IFIP WG 12.5 International Conference Artificial Intelligence Applications and Innovations, AIAI 2014, volume 436, pages 203-213, Rhodes, Greece, September 19-21, 2014, 2014. Springer. details

  8. Gul Muhammad Khan and Jawad Ali and Sahibzada Ali Mahmud. Wind power forecasting: An application of machine learning in renewable energy. In International Joint Conference on Neural Networks (IJCNN 2014), pages 1130-1137, 2014. details

  9. R. Arshad and G. M. Khan and S. A. Mahmud. Smart bandwidth management using a recurrent Neuro-Evolutionary technique. In International Joint Conference on Neural Networks (IJCNN 2014), pages 2240-2247, 2014. details

  10. Arbab Masood Ahmad and Gul Muhammad Khan and Sahibzada Ali Mahmud. Classification of Arrhythmia Types Using Cartesian Genetic Programming Evolved Artificial Neural Networks. In Lazaros S. Iliadis and Harris Papadopoulos and Chrisina Jayne editors, Proceedings of 14th International Conference on Engineering Applications of Neural Networks (EANN 2013), Part I, volume 383, pages 282-291, Halkidiki, Greece, 2013. Springer. details

  11. Gul Muhammad Khan and Atif Rashid Khattak and Faheem Zafari and Sahibzada Ali Mahmud. Electrical load forecasting using fast learning recurrent neural networks. In International Joint Conference on Neural Networks (IJCNN 2013), 2013. details

  12. Gul Muhammad Khan and Faheem Zafari and S. Ali Mahmud. Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN). In 12th International Conference on Machine Learning and Applications (ICMLA 2013), volume 2, pages 152-155, 2013. details

  13. Fahad Ullah and Gul Muhammad Khan and Sahibzada A. Mahmud. Exploiting developmental plasticity in Cartesian Genetic Programming. In IEEE Symposium on Computers Informatics (ISCI 2012), pages 180-184, Penang, Malaysia, 2012. details

  14. Fahad Ullah and Gul M. Khan and Sahibzada Ali Mahmud. Intelligent Bandwidth Management Using Fast Learning Neural Networks. In High Performance Computing and Communication 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on, pages 867-872, Liverpool, 2012. details

  15. Arbab Masood Ahmad and Gul Muhammad Khan and Sahibzada Ali Mahmud and Julian Francis Miller. Breast cancer detection using cartesian genetic programming evolved artificial neural networks. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 1031-1038, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  16. Arbab Masood Ahmad and Gul Muhammad Khan. Bio-signal Processing Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN). In Frontiers of Information Technology (FIT), 2012 10th International Conference on, pages 261-268, 2012. details

  17. Maryam Mahsal Khan and Gul Muhammad Khan and Julian F. Miller. Developmental Plasticity in Cartesian Genetic Programming based Neural Networks. In Jean-Louis Ferrier and Alain Bernard and Oleg Yu. Gusikhin and Kurosh Madani editors, Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2011), volume 1, pages 449-458, Noordwijkerhout, The Netherlands,, 2011. SciTePress. details

  18. Abdul Rehman and Gul Muhammad Khan. Polymorphic Circuit Design for Speedy Handwritten Character Recognition Using Cartesian Genetic Programming. In 9th International Conference on Frontiers of Information Technology (FIT), 2011, pages 79-84, Islamabad, Pakistan, 2011. details

  19. Maryam Mahsal Khan and Gul Muhammad Khan and Julian Francis Miller. Evolution of Optimal ANNs for Non-Linear Control Problems using Cartesian Genetic Programming. In Hamid R. Arabnia and David de la Fuente and Elena B. Kozerenko and Jos\'e Angel Olivas and Rui Chang and Peter M. LaMonica and Raymond A. Liuzzi and Ashu M. G. Solo editors, Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes, pages 339-346, 2010. CSREA Press. details

  20. Maryam Mahsal Khan and Gul Muhammad Khan and Julian F. Miller. Evolution of neural networks using Cartesian Genetic Programming. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  21. Maryam Mahsal Khan and Gul Muhammad Khan and Julian F. Miller. Efficient representation of Recurrent Neural Networks for Markovian/non-Markovian Non-linear Control Problems. In 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010), pages 615-620, 2010. details

  22. Maryam Mahsal Khan and Gul Muhammad Khan. A novel NeuroEvolutionary algorithm: Cartesian genetic programming evolved artificial neural network (CGPANN). In Proceedings of the 8th International Conference on Frontiers of Information Technology, pages 48:1-48:4, Islamabad, Pakistan, 2010. ACM. details

  23. Gul Muhammad Khan and Julian F. Miller and David Halliday. In Search of Intelligent Genes: The Cartesian Genetic Programming Computational Neuron (CGPCN). In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 574-581, Trondheim, Norway, 2009. IEEE Press. details

  24. Gul Muhammad Khan and Julian F. Miller. Evolution of cartesian genetic programs capable of learning. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 707-714, Montreal, 2009. ACM. details

  25. Gul Muhammad Khan and Julian Francis Miller and David M. Halliday. Developing neural structure of two agents that play checkers using cartesian genetic programming. In Marc Ebner and Mike Cattolico and Jano van Hemert and Steven Gustafson and Laurence D. Merkle and Frank W. Moore and Clare Bates Congdon and Christopher D. Clack and Frank W. Moore and William Rand and Sevan G. Ficici and Rick Riolo and Jaume Bacardit and Ester Bernado-Mansilla and Martin V. Butz and Stephen L. Smith and Stefano Cagnoni and Mark Hauschild and Martin Pelikan and Kumara Sastry editors, GECCO-2008 Late-Breaking Papers, pages 2169-2174, Atlanta, GA, USA, 2008. ACM. details

  26. Gul Muhammad Khan and Julian Francis Miller and David M. Halliday. Coevolution of intelligent agents using cartesian genetic programming. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 1, pages 269-276, London, 2007. ACM Press. details

  27. Gul Muhammad Khan and Julian F. Miller and David M. Halliday. A developmental model of neural computation using cartesian genetic programming. In Peter A. N. Bosman editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2007), pages 2535-2542, London, United Kingdom, 2007. ACM Press. details

Genetic Programming book chapters by Gul Muhammad Khan