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2020 – today
- 2026
[j6]Aashu Katharria
, Millie Pant, Juan D. Velásquez, Václav Snásel, Kanchan Rajwar, Kusum Deep:
Information fusion in smart agriculture: machine learning applications and future research directions. Inf. Fusion 129: 104040 (2026)- [j5]Karuna Panwar, Kanchan Rajwar, Kusum Deep, Sung-Bae Cho:
A swarm intelligence-based hybrid metaheuristic with tabu search for the quadratic assignment problem. J. Supercomput. 82(3): 126 (2026) - 2025
- [j4]Kanchan Rajwar, Kusum Deep:
Regenerative population strategy-I: A dynamic methodology to mitigate structural bias in metaheuristic algorithms. Inf. Sci. 719: 122444 (2025) - [j3]Kanchan Rajwar, Kusum Deep:
Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects. Swarm Evol. Comput. 92: 101812 (2025) - 2024
- [j2]Kanchan Rajwar, Kusum Deep:
Uncovering structural bias in population-based optimization algorithms: A theoretical and simulation-based analysis of the Generalized Signature Test. Expert Syst. Appl. 240: 122332 (2024) - [c2]Kanchan Rajwar, Kusum Deep:
Q-Learning-Driven Framework for High-Dimensional Optimization Problems. CEC 2024: 1-8 - [c1]Kanchan Rajwar, Yogesh Kumar, Kusum Deep:
Investigating Structural Bias in Real-Coded Genetic Algorithms. GECCO Companion 2024: 447-450 - [i1]Aashu, Kanchan Rajwar, Millie Pant, Kusum Deep:
Application of Machine Learning in Agriculture: Recent Trends and Future Research Avenues. CoRR abs/2405.17465 (2024) - 2023
- [j1]Kanchan Rajwar, Kusum Deep, Swagatam Das:
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges. Artif. Intell. Rev. 56(11): 13187-13257 (2023)
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