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      Prachi Agrawal

      Prachi Agrawal

      Assistant Professor

      NET, PhD (Pursuing) Department of Mathematics and Scientific Computing, National Institute of Technology

      Prachi Agrawal is an Assistant Professor at the Yogananda School of Artificial Intelligence, Computing & Data Science in Shoolini University. She has submitted her PhD thesis in the Department of Mathematics and Scientific Computing, National Institute of Technology, Hamirpur, Himachal Pradesh.

      Prior to doing her Master of Science in Mathematics from the IIT, Delhi, in 2014, she completed her Bachelor of Science in Mathematics from Ramjas College, Delhi University, in 2012. She has published more than 15 research papers in peer reviewed journals such as Neural Computing and Applications, Soft Computing, Applied Intelligence, OPSERCH, International journal of swarm and intelligent research, Complexity and presented various papers in international conferences. Her main research interests are in the areas of stochastic optimization using computational intelligence techniques. Her area of research includes optimization, metaheuristic algorithms, evolutionary programming.

      Publication

      List of Publications:

      1. Agrawal, P., Ganesh, T., & Mohamed, A. W. (2021) Chaotic gaining sharing knowledge based optimization algorithm: An improved metaheuristic algorithm for feature selection, Soft Computing (SCI) https://doi.org/10.1007/s00500-021-05874-3  
      2. Agrawal, P., Ganesh, T., Oliva, D., & Mohamed, A. W. (2021) S-shaped and V-shaped binary gaining sharing knowledge -based optimization algorithm for feature selection, Applied Intelligence (SCI), https://doi.org/10.1007/s10489-021-02233-5  
      3. Agrawal, P., Ganesh, T., & Mohamed, A. W. (2021) Solving Knapsack problem using novel binary gaining sharing knowledge based algorithm, Complex & Intelligent Systems (SCI), Springer, https://doi.org/10.1007/s40747-021-00351-8  
      4. Agrawal, P., Abutarboush, H. F., Ganesh, T., & Mohamed, A. W. (2021), Metaheuristic Algorithms on feature selection: A survey of one decade of research (2009-2019), IEEE Access (SCI) https://doi.org/10.1109/ACCESS.2021.3056407  
      5. Agrawal, P., Ganesh, T., & Mohamed, A. W. (2020). A novel binary gaining–sharing knowledge-based optimization algorithm for feature selection. Neural Computing and Applications (SCI), 1-20. https://doi.org/10.1007/s00521-020-05375-8  
      6. Agrawal, P., Ganesh, T., & Mohamed, A. W. (2020) Application of water cycle algorithm to stochastic fractional programming problem. International Journal of Swarm Intelligence Research (SCOPUS) (Accepted) 
      7. Agrawal, P., Ganesh, T. (2020) Fuzzy Fractional Stochastic Transportation Problem involving Exponential Distribution, OPSEARCH (SCOPUS) 57, 1093-1114, https://doi.org/10.1007/s12597-020-00458-5  
      8. Agrawal, P., & Ganesh, T. (2020). Solution of stochastic transportation problem involving multi-choice random parameter using Newton’s divided difference interpolation. Journal of Information and Optimization Sciences (ESCI), 1-15. https://doi.org/10.1080/02522667.2019.1694741   
      9. Hassan, S. A., Agrawal, P., Ganesh, T., & Mohamed, A. W. (2020) A novel discrete binary gaining-Sharing knowledge-based optimization algorithm for the travelling counselling problem in solar energy power systems. International Journal of Swarm Intelligence Research (SCOPUS) (Accepted) 
      10. Hassan, S. A., Ayman, Y. M., Alnowibet, K., Agrawal, P., & Mohamed, A. W. (2020). Stochastic Travelling Advisor Problem Simulation with a Case Study: A Novel Binary Gaining-Sharing Knowledge-Based Optimization Algorithm. Complexity (SCI). https://doi.org/10.1155/2020/6692978  
      11. Hassan, S. A., Alnowibet, K., Agrawal, P., & Mohamed, A. W. (2020). Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing knowledge-based Metaheuristic Algorithm. Complexity (SCI) https://doi.org/10.1155/2020/667574 1 
      12. Hassan, S. A., Alnowibet, K., Agrawal, P., & Mohamed, A. W. (2020) Optimum Location of Field Hospital for COVID-19 Pandemic Risk Reduction, A Nonlinear Binary Metaheuristic Algorithm, Computer, Materials & Continua (SCI), (Accepted). 
      13. Agrawal, P., & Ganesh, T. (2018). Multi-choice Stochastic Transportation Problem involving Logistic Distribution. Advances and Applications in Mathematical Sciences (Web of Science), 18(1), 45-58. 

      Book Chapters-

      1. Agrawal P., Ganesh T. (2020) Solving Multi-choice Fractional Stochastic Transportation Problem Involving Newton’s Divided Difference Interpolation. In: Dutta D., Mahanty B. (eds) Numerical Optimization in Engineering and Sciences. Advances in Intelligent Systems and Computing, vol 979. Springer, Singapore. https://doi.org/10.1007/978-981-15-3215-3_28 
      2. Hassan, S. A., Agrawal, P., Ganesh, T., & Mohamed, A. W. (2020) Optimum Scheduling of the Disinfection Process for COVID-19 in Public Places with a Case Study from Egypt, A Novel Discrete Binary Gaining-Sharing knowledge-based Metaheuristic Algorithm. AI for COVID-19 Book (Accepted)
      3. Hassan, S. A., Agrawal, P., Ganesh, T., & Mohamed, A. W. (2020) A Multi-Objective Nonlinear Combinatorial Model for Improved Planning of Tour Visits Using a Novel Binary Gaining-Sharing knowledge-based Optimization Algorithm. Multi-Objective Combinatorial Optimization Problems and Solution Methods Book (Accepted)
      4. Hassan, S. A., Agrawal, P., Ganesh, T., & Mohamed, A. W. (2020) Scheduling Shuttle Ambulance Vehicles for COVID-19 Quarantine Cases, A Multi-objective Multiple 0-1 Knapsack Model with A Novel Discrete Binary Gaining-Sharing knowledge-based Optimization Algorithm. DATA Science for COVID-19-BOOK (Accepted).

       

      Conference Proceedings-

      1. Agrawal, P., Ganesh, T., & Mohamed, A. W. (2020, July). Solution of Uncertain Solid Transportation Problem by Integer Gaining Sharing Knowledge Based Optimization Algorithm. In 2020 International Conference on Computational Performance Evaluation (ComPE) (pp. 158-162). IEEE. https://doi.org/10.1109/ComPE49325.2020.9200089 
      2. Agrawal, P., & Ganesh, T. (2020). Selection of Indian Cricket Team in ODI using Integer Optimization. In Journal of Physics: Conference Series (Vol. 1478, p. 012001). https://doi.org/10.1088/1742-6596/1478/1/012001 
      3. Garg, A., Agrawal, P., & Ganesh, T. (2020). A Statistical Study on the Emotional Intelligence of B. Tech Students of NIT Hamirpur. In Journal of Physics: Conference Series (Vol. 1478, p. 012016). https://doi.org/10.1088/1742-6596/1478/1/012016 
      4. Agrawal, P., & Ganesh, T. (2019, August). Solving transportation problem with stochastic demand and non-linear multi-choice cost. In AIP Conference Proceedings (Vol. 2134, No. 1, p. 060002). AIP Publishing LLC. https://doi.org/10.1063/1.5120227 
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