Kanchan Rajwar

Kanchan Rajwar, PhD

Post doctoral fellow

Department of Computer Science

University of Pretoria

Johannesburg, South Africa

Mobile: +91 8006627019

Email ID: u25767403@tuks.co.za

kanchanrajwar1519@gmail.com

Currently, I am a Postdoctoral Fellow in the Department of Computer Science at the University of Pretoria, Johannesburg, specializing in evolutionary computation and optimization. I am open to research collaborations and love to mentor young researchers.

Work Experience

Postdoctoral Fellow, Department of Computer Science, University of Pretoria, Johannesburg (April 1, 2025 – Present) – Research Focus: Evolutionary Transfer Learning.
Postdoctoral Fellow, Statistical Quality Control and Operations Research Unit, Indian Statistical Institute, India (July 22, 2024 – March 31, 2025) – Research Focus: Polynomial Multi-Objective Optimization.
Research Intern, Selected for 'Prof. Ravi Ravindran & Operational Research Society of India Research award 2023', Department of Management Studies, Indian Institute of Science, Bangalore, India (May 15, 2023 – July 15, 2023).

Research Interests

Evolutionary Algorithms, Swarm Intelligence, Algorithmic Fairness, Machine Learning, Reinforcement Learning, Transfer Learning, Application of Optimization Algorithm and Operational Research.

Publications

New Articles

Rajwar, K., Pillay, N., Nyathi, T., PNKL-DE: A Positive-Negative Knowledge Learning Framework for Differential Evolution, accepted for publication in the proceedings of IEEE WCCI 2026. [CORE Rank A]
Rajwar, K., Pillay, N., Nyathi, T., PITL-PSO: A Transfer Learning Framework for Particle Swarm Optimization in Continuous Domains, accepted for publication in the proceedings of International Conference on Statistics, Optimization and Machine Learning (ICOSOM 2026). [Received Best Paper Award]
Abhisek Kumar Gupta, Kanchan Rajwar. "Comparative Analysis of Statistical, Machine Learning, and Deep Learning Models for NIFTY 50 Financial Forecasting", In Soft Computing for Problem Solving: Proceedings of the ScoPros 2025, Singapore: Springer Nature Singapore, 2025 (Under process for publication)
Rajwar, K., Pillay, N., Nyathi, T., "PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization", Proceeding of EvoApps, pp 417–434. DOI: 10.1007/978-3-032-23604-3_26 [CORE Rank A]
Panwar, Karuna, Kanchan Rajwar, and Kusum Deep, Sung-Bae Cho. “A Swarm Intelligence-Based Hybrid Metaheuristic with Tabu Search for the Quadratic Assignment Problem,” Journal of Supercomputing. DOI: 10.1007/s11227-026-08258-2
Katharria, A., Pant, M., Velásquez, J. D., Snášel, V., Rajwar, K., and Deep, K. (2026). "Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions" Information Fusion, 104040. DOI: 10.1016/j.inffus.2025.104040

Featured Journals Articles

Rajwar, Kanchan, and Kusum Deep. "Regenerative Population Strategy-I: A Dynamic Methodology to Mitigate Structural Bias in Metaheuristic Algorithms," Information Sciences, 122444. DOI: 10.1016/j.ins.2025.122444
Rajwar, Kanchan, and Kusum Deep. "Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects," Swarm and Evolutionary Computation 92 (2025): 101812. DOI: 10.1016/j.swevo.2024.101812
Rajwar, Kanchan, and Kusum Deep. "Uncovering structural bias in population-based optimization algorithms: A theoretical and simulation-based analysis of the Generalized Signature Test," Expert Systems with Applications 240 (2024): 122332. DOI: 10.1016/j.eswa.2023.122332

Featured Conference Articles

Rajwar, Kanchan, and Kusum Deep. "Q-Learning-Driven Hybrid Metaheuristics Frame-work for High-Dimensional Optimization Problems." IEEE World Congress on Computational Intelligence: Proceedings of the IEEE WCCI 2024, Yokohama, Japan, 2024, CORE Rank A. DOI: 10.1109/CEC60901.2024.10611751
Rajwar, Kanchan, Yogesh Kumar and Kusum Deep. "Examining Structural Bias in the Artificial Bee Colony Algorithm: A Study Using BIAS Toolbox and Generalized Signature Test," Genetic and Evolutionary Computation Conference: Proceedings of the GECCO 2024, Melbourne, Australia, CORE Rank A. DOI: 10.1145/3638530.3654312
Rajwar, K., Pillay, N., Nyathi, T., "PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization", Proceeding of EvoApps, Toulouse, France, 2026, COER Rank A. DOI: 10.1007/978-3-032-23604-3_26

Collaborators

Prof. Swagatam Das, Indian Statistical Institute, India.
Dr. M. Mathirajan, Indian Institute of Science, India.
Prof. Juan D. Velasquez, Santiago, Chile.
Prof. Millie Pant, IIT Roorkee, India.
Prof. Václav Snášel, VSB-Technical University of Ostrava, Czech Republic.
Dr. Dikshit Chauhan, National University of Singapore. Singapore.
Prof. Sung-Bae Cho, Yonsei University, Seoul, South Korea.

Academics

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