Jagdish Chand Bansal

About

Dr. Jagdish Chand Bansal is a Professor at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi he worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems in the engineering domain. He has published more than 70 research papers in various international journals/conferences. He is the Section Editor (editor in chief) of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.

Employment

• South Asian University Professor
  2025 - Present
• Liverpool Hope Univerity UK Visiting Faculty
  2018 - Present
• South Asian University Associate Professor
  2018 - 2025
• South Asian University Assistant Professor
  2012 - 2018
• Atal Bihari Vajpayee Indian Institute of Information Technology and Management Assistant Professor
  2010 - 2012
• Birla Institute of Technology and Science Assistant Professor
  2009 - 2010

Education

• Indian Institute of Technology Roorkee Ph.D.
  2005 - 2009
• Jiwaji University Gwalior M.Sc.
  1998 - 2000
• Jiwaji University Gwalior B.Sc.
  1995 - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (115)

• Binary extension of adaptive archive-based gravitational search algorithm for wind farm layout optimization
  International Journal of System Assurance Engineering and Management 2026 DOI: 10.1007/s13198-026-03346-1
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• A modified grey wolf optimizer for wind farm layout optimization problem
  International Journal of System Assurance Engineering and Management 2024 DOI: 10.1007/s13198-024-02462-0
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• Dynamic Mutation Strategy Selection in Differential Evolution Using Perturbed Adaptive Pursuit
  SN Computer Science 2024 DOI: 10.1007/s42979-024-03062-2
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• Voronoi Tessellations based simple optimizer
  Information Sciences 2024 DOI: 10.1016/j.ins.2024.120795
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• An improved linear prediction evolution algorithm based on topological opposition-based learning for optimization
  MethodsX 2024 DOI: 10.1016/j.mex.2023.102511
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• Efficient 3D Path Planning for Drone Swarm Using Improved Sine Cosine Algorithm
  SN Computer Science 2024 DOI: 10.1007/s42979-024-02605-x
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• An improved linear prediction evolution algorithm based on nonlinear least square fitting model for optimization
  Soft Computing 2023 DOI: 10.1007/s00500-023-08500-6
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• Drone flocking optimization using NSGA-II and principal component analysis
  Swarm Intelligence 2023 DOI: 10.1007/s11721-022-00216-x
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• Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution
  IEEE/CAA Journal of Automatica Sinica 2023 DOI: 10.1109/jas.2023.123018
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• An improved linear prediction evolution algorithm based on nonlinear least square fitting model for optimization
  2022 DOI: 10.21203/rs.3.rs-2044315/v1
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