Yazdanjue, N., Rakhshaninejad, M., Yazdanjouei, H., Khorshidi, M. S., Niemelä, M. S., Chen, F., & Gandomi, A. H. (2025).
A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms.
arXiv preprint arXiv:2507.22912
[Link]
Khorshidi, M. S., Yazdanjue, N., Gharoun, H., Yazdani, D., Nikoo, M. R., Chen, F., & Gandomi, A. H. (2025).
Semantic-Preserving Feature Partitioning for multi-view ensemble learning.
Information Fusion, 122, 103152.
[Link]
Yazdanjue, N., Rakhshaninejad, M., Yazdanjouei, H., Niemelä, M. S., Chen, F., & Gandomi, A. H. (2025).
Cyber threat management using semi-supervised ensemble learning and enhanced interior search algorithm: applications for illicit marketplace classification in deep/dark web and social platforms.
Annals of Operations Research.
[Link]
Yazdani, D., Branke, J., Khorshidi, M. S., Omidvar, M. N., Li, X., Gandomi, A. H., & Yao, X. (2024, July).
Clustering in dynamic environments: a framework for benchmark dataset generation with heterogeneous changes.
In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 50–58).
[Link]
Yazdanjue, N., Yazdanjouei, H., Karimianghadim, R., & Gandomi, A. H. (2024).
An enhanced discrete particle swarm optimization for structural k-Anonymity in social networks.
Information Sciences, 670, 120631.
[Link]
Khorshidi, M. S., Yazdanjue, N., Gharoun, H., Yazdani, D., Nikoo, M. R., Chen, F., & Gandomi, A. H. (2024, July).
Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming.
In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 2099–2102).
[Link]
Gharoun, H., Khorshidi, M. S., Yazdanjue, N., Chen, F., & Gandomi, A. H. (2024, July).
Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence.
In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 2095–2098).
[Link]
Peng, M., Yazdani, D., Yazdani, D., She, Z., Luo, W., Li, C., Branke, J., Nguyen, T. T., Gandomi, A. H., Yang, S., Jin, Y., & Yao, X. (2023).
Evolutionary dynamic optimization laboratory: A matlab optimization platform for education and experimentation in dynamic environments.
arXiv preprint arXiv:2308.12644 (preprint).
[Link]
Yazdani, D., Omidvar, M. N., Yazdani, D., Deb, K., & Gandomi, A. H. (2023).
GNBG: a generalized and configurable benchmark generator for continuous numerical optimization.
arXiv preprint arXiv:2312.07083.
[Link]
Khorshidi, M. S., Yazdani, D., Mańdziuk, J., Nikoo, M. R., & Gandomi, A. H. (2023, July).
A filter-based feature selection and ranking approach to enhance genetic programming for high-dimensional data analysis.
In 2023 IEEE Congress on Evolutionary Computation (CEC) (pp. 1–9). IEEE.
[Link]
Gandomi, A. H., & Roke, D. A. (2021).
A multiobjective evolutionary framework for formulation of nonlinear structural systems.
IEEE Transactions on Industrial Informatics, 18(9), 5795–5803.
[Link]
Grin, A. V., & Gandomi, A. H. (2021, June).
Advancing Genetic Programming via Information Theory.
In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 1991–1998). IEEE.
[Link]