1. Hans, R., & Kaur, H. (2022). Hybrid Biogeography-Based Optimization and Genetic Algorithm for Feature Selection in Mammographic Breast Density Classification. International Journal of Image and Graphics, 22(03), 2140007.DOI: https://doi.org/10.1142/S0219467821400076
2. Hans, R., & Kaur, H. (2020). Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection. International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 6, No.1: 91-106 ISSN No: 1989-1660.
(Journal Impact Factor:3.137, DOI: 10.9781/ijimai.2019.07.004)
3. Hans, R., & Kaur, H. (2020), Hybrid binary Sine Cosine Algorithm and Ant Lion Optimization (SCALO) approaches for feature selection problem, International Journal of Computational Materials Science and Engineering, World scientific, Vol. 09, No.01:1-26 ISSN No.(print): 2047-6841, ISSN (online): 2047-685X.
DOI: https://doi.org/10.1142/S2047684119500210
4. Hans, R., & Kaur, H. (2020), Opposition-based Harris Hawks optimization algorithm for feature selection in breast mass classification, Journal of Interdisciplinary Mathematics, Taylor and Francis, Vol. 23, No. 1: 97–106 ISSN No: 0972-0502 (Print), ISSN No: 2169-012X (Online)
DOI: https://doi.org/10.1080/09720502.2020.1721670
5. Hans, R., & Kaur, H. (2020), Opposition-Based Enhanced Grey Wolf Optimization Algorithm for Feature Selection in Breast Density Classification. International Journal of Machine Learning and Computing, Vol. 10, No.3: 458-464 ISSN: 2010-3700 (Online)
DOI: 10.18178/ijmlc.2020.10.3.957
6. Kaur, S., Bagga, P., Hans, R., & Kaur, H. (2019). Quality of service (QoS) aware workflow scheduling (WFS) in cloud computing: A systematic review. Arabian Journal for Science and Engineering, 44(4), 2867-2897.
(Journal Impact Factor:2.334, DOI: https://doi.org/10.1007/s13369-018-3614-3)
7. Bagga, P., Joshi, A., & Hans, R. (2019). QoS based Web Service Selection and Multi-Criteria Decision Making Methods. International Journal of Interactive Multimedia and Artificial Intelligence, 5(4).
(Journal Impact Factor:3.137, DOI: 10.9781/ijimai.2017.12.001)
8. Bagga, P., & Hans, R. (2017). Mobile agents system security: a systematic survey. ACM Computing Surveys (CSUR), 50(5), 1-45.
(Journal Impact Factor:7.990, DOI: https://doi.org/10.1145/3095797)
9. Bagga, P., Hans, R., & Sharma, V. (2017). N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents. International Journal of Interactive Multimedia and Artificial Intelligence, 4(6).
(Journal Impact Factor:3.137, DOI: 10.9781/ijimai.2017.03.013)
10.Bagga, P., Hans, R., & Sharma, V. (2017). A biological immune system (BIS) inspired mobile agent platform (MAP) security architecture. Expert Systems with Applications, 72, 269-282.
(Journal Impact Factor:6.954, DOI: https://doi.org/10.1016/j.eswa.2016.10.062)