Genetic Programming Bibliography entries for Biranchi Narayan Panda

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GP coauthors/coeditors: Kumar Abhishek, Saurav Datta, Siba Sankar Mahapatra, Akhil Garg, D Y Zhao, Kang Tai, Shrutidhara Sarma, Jian Zhang2, Liang Gao, Jasmine Siu Lee Lam, M V A Raju Bahubalendruni, Bibhuti Bhusan Biswal, K Shankhwar, Marco Leite, Xiaodong Niu, M M Savalani, Liu Yun, Xu Meijuan, Dezhi Chen, Chin-Tsan Wang,

Genetic Programming Articles by Biranchi Narayan Panda

  1. Biranchi Panda and K. Shankhwar and Akhil Garg and M. M. Savalani. Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing. Journal of Intelligent Manufacturing, 30(2) 2019. details

  2. Liu Yun and Biranchi Panda and Liang Gao and Akhil Garg and Xu Meijuan and Dezhi Chen and Chin-Tsan Wang. Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage. Mathematical Problems in Engineering, 2018(1):Article ID 8165164, 2018. details

  3. Biranchi Panda and Marco Leite and Bibhuti Bhusan Biswal and Xiaodong Niu and Akhil Garg. Experimental and numerical modelling of mechanical properties of 3D printed honeycomb structures. Measurement, 116:495-506, 2018. details

  4. A. Garg and Jasmine Siu Lee Lam and B. N. Panda. A hybrid computational intelligence framework in modelling of coal-oil agglomeration phenomenon. Applied Soft Computing, 55:402-412, 2017. details

  5. Biranchi Narayan Panda and Akhil Garg and K. Shankhwar. Empirical investigation of environmental characteristic of 3-D additive manufacturing process based on slice thickness and part orientation. Measurement, 86:293-300, 2016. details

  6. Akhil Garg and Shrutidhara Sarma and B. N. Panda and Jian Zhang2 and L. Gao. Study of effect of nanofluid concentration on response characteristics of machining process for cleaner production. Journal of Cleaner Production, 135:476-489, 2016. details

  7. Akhil Garg and B. N. Panda and D. Y. Zhao and K. Tai. Framework based on number of basis functions complexity measure in investigation of the power characteristics of direct methanol fuel cell. Chemometrics and Intelligent Laboratory Systems, 155:7-18, 2016. details

  8. Biranchi Narayan Panda and M. V. A. Raju Bahubalendruni and Bibhuti Bhusan Biswal. Comparative Evaluation of Optimization Algorithms at Training of Genetic Programming for Tensile Strength Prediction of FDM Processed Part. Procedia Materials Science, 5:2250-2257, 2014. International Conference on Advances in Manufacturing and Materials Engineering, ICAMME 2014. details

  9. Kumar Abhishek and Biranchi Narayan Panda and Saurav Datta and Siba Sankar Mahapatra. Comparing Predictability of Genetic Programming and ANFIS on Drilling Performance Modeling for GFRP Composites. Procedia Materials Science, 6:544-550, 2014. 3rd International Conference on Materials Processing and Characterisation (ICMPC 2014). details