Research Publications

Journals

1. 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 82 (2026): 126.  DOI: 10.1007/s11227-026-08258-2  [New Article] 

2. Katharria, A., Pant, M., Velásquez, J. D., Snášel, V., Rajwar, K., and Deep, K. (2025). "Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions." Information Fusion, 104040. DOI: 10.1016/j.inffus.2025.104040   [New Article] 

3. 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 

4. 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 

5. 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: 10.1007/s10462-023-10470-y 

6. Rajwar, Kanchan, Kusum Deep, and Swagatam Das. "An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges." Artificial Intelligence Review (2023): 1-71. DOI: 10.1016/j.eswa.2023.122332 

7. Kumar, Manish, Kanchan Rajwar and Kusum Deep. "Analysis of Marine Predators Algorithm Using BIAS Toolbox and Generalized Signature Test." Alexandria Engineering Journal, Elsevier (2024). DOI: 10.1016/j.aej.2024.03.060 

Conference

1.  Rajwar, K., Pillay, N., Nyathi, T., "PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization", Proceeding of EvoApps, Toulouse, France, 2026.  DOI: 10.1007/978-3-032-23604-3_26 

2. 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. DOI: 10.1109/CEC60901.2024.10611751

3. 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. DOI: 10.1145/3638530.3654312 

4. Rajwar, Kanchan, Kusum Deep and Muthu Mathirajan. "Impact of Structural Bias on the Sine Cosine Algorithm: A Theoretical Investigation Using the Signature Test." In International Conference on Metaheuristics and Nature Inspired Computing META: Proceedings of the META 2023,  Morocco, 2023. DOI: 10.1007/978-3-031-69257-410

5. Rajwar, Kanchan, and Kusum Deep. "Population Dynamics in the Whale Optimization Algorithm: A Theoretical Investigation of Structural Bias." In Soft Computing for Problem Solving: Proceedings of the SocProS 2023, Singapore: Springer Nature Singapore, 2023. (Book of Abstract)

6. Solanki, Prince, Kanchan Rajwar and Kusum Deep. "Examining Structural Bias in Salp Swarm Algorithm and Its Two Variants using Signature Test: A Theoretical Study." In Soft Computing for Problem Solving: Proceedings of the SocProS 2023, Singapore: Springer Nature Singapore, 2023. DOI: 10.1007/978-981-96-8456-4_39

Accepted (under process)

1. 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.

2. Rajwar, K., Pillay, N., Nyathi, 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 2026 (ICOSOM).

3. 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 Review

1. Sharma Anupam, Kanchan Rajwar, Millie Pant and Kusum Deep. "Hybrid Swarm Intelligence Techniques for Path Planning of Unmanned Combat Aerial Vehicles in Adverse Conditions", Information Sciences, Elsevier.

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