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Kanchan Rajwar, PhD
Kanchan Rajwar, PhD
Post Doc, Indian Statistical Institute, India
Bestätigte E-Mail-Adresse bei ma.iitr.ac.in - Startseite
Titel
Zitiert von
Zitiert von
Jahr
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
K Rajwar, K Deep, S Das
Artificial Intelligence Review 56 (11), 13187-13257, 2023
2612023
Uncovering structural bias in population-based optimization algorithms: A theoretical and simulation-based analysis of the generalized signature test
K Rajwar, K Deep
Expert Systems with Applications 240, 122332, 2024
152024
Analysis of marine predators algorithm using bias toolbox and generalized signature test
M Kumar, K Rajwar, K Deep
Alexandria Engineering Journal 95, 38-49, 2024
62024
Application of Machine Learning in Agriculture: Recent Trends and Future Research Avenues
K Rajwar, M Pant, K Deep
arXiv preprint arXiv:2405.17465, 2024
42024
Investigating structural bias in real-coded genetic algorithms
K Rajwar, Y Kumar, K Deep
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024
22024
Q-learning-driven framework for high-dimensional optimization problems
K Rajwar, K Deep
2024 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2024
22024
Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects
K Rajwar, K Deep
Swarm and Evolutionary Computation 92, 101812, 2025
12025
Impact of Structural Bias on the Sine Cosine Algorithm: A Theoretical Investigation Using the Signature Test
K Rajwar, K Deep, M Mathirajan
International Conference on Metaheuristics and Nature Inspired Computing …, 2023
12023
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