Classification Applications with Deep Learning and Machine Learning Technologies
1. Khazalah, A., Prasanthi, B., Thomas, D., Vello, N., Jayaprakasam, S., Sumari, P., Abualigah, L, E Ezugwu, A., Hanandeh, E. S., Khodadadi, N., (2022) " MImage Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Learning Techniques",Springer.
Advances in Swarm Intelligence
1. Khodadadi, N.,Mirjalili, S. M.,,Zhao, W., Zhang, Z., Wang, L. and Mirjalili, S., (2023)," Multi-Objective Artificial Hummingbird Algorithm",Springer.
2. Mirjalili, S.M, Mirjalili, S.Z, Khodadadi, N., Snasel, V., and Mirjalili, S., (2023), ”Grey Wolf Optimizer, Whale Optimization Algorithm, and Moth Flame Optimization for Optimizing Photonics Crystals", Springer.
3. Abdollahzadeh, B., Soleimanian, G. F, Khodadadi, N. and Mirjalili, S., (2023) ,"A Hybrid African Vulture Optimization Algorithm and Harmony Search: Algorithm and Application in Clustering", Springer.
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications
1. Khodadadi, N., Mirjalili, S.M, Mirjalili, S.Z, and Mirjalili, S., (2022), "Chaotic Stochastic Paint Optimizer (CSPO),"Springer.
2. Mirjalili, S.Z, Khodadadi, N., Sajeev, S., Saha, R., Mirjalili, S.M, and Mirjalili, S., (2022)," Evolutionary Population Dynamic Mechanisms for the Harmony Search Algorithm", Springer.
3. Mirjalili, S.Z, Khodadadi, N., Sajeev, S., Saha, R., Mirjalili, S.M, and Mirjalili, S., (2022), "Evolutionary Population Dynamic Mechanisms for the Harmony Search Algorithm", Springer.
Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications
1. Khodadadi, N., Mirjalili, S.M, and Mirjalili, S., (2022)", Multi-objective Moth-Flame Optimization Algorithm for Engineering Problems ",CRC Press.
2. Khodadadi, N., Mirjalili, S.M, and Mirjalili, S., (2022)", Optimal Design of Truss Structures with Continuous Variable Using Moth-Flame Optimization", CRC Press.
3. Mirjalili, S.M, Davar, S., Khodadadi, N., and Mirjalili, S., (2022)", Design Optimization of Photonic Crystal Filter Using Moth-Flame Optimization Algorithm", CRC Press.
4. Al-Tashi, Q., Mirjalili, S., Wu, J., Abdulkadir, S.J, Shami, T.M, Khodadadi, N., and
Alqushaibi, A., (2022)",Moth Flame Optimization Algorithm for Feature Selection: A Review and Future Trends", CRC Press.
Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
1. Abualigah, A., Abd Elaziz, M., Khodadadi, N., Forestiero, A., Jia, H., and Gandomi, A. H., (2022)", Aquila Optimizer Based PSO Swarm Intelligence for IoT Task Scheduling Application in Cloud Computing", Springer.