Mastering the Minds of Machines: A Journey into Deep Learning and AI
1. Al-Okbi, N.K., Migdady, H., Snasel, V., Nusier, S., Khodadadi, N., Gul, F., Smerat, A. and Abualigah, L., 2025. Unsupervised Patterns E-Commerce, without and Learning: Labels: Cybersecurity Discovering Health Care. Mastering the Minds of Machines: A Journey into Deep Learning and AI, p.34.
2. Hanandeh, E., Thanh, H.V., Gul, F., Wahab, M.A., Al-Shourbaji, I., Khodadadi, N., Ezugwu, A.E., Smerat, A. and Abualigah, L., 2025. Optimizing Deep Learning Scalability: Harnessing Cloud Distributed Systems and. Mastering the Minds of Machines: A Journey into Deep Learning and AI, 3, p.142.
3. Al-Okbi, N.K., Khodadadi, N., Kumar, M., Şahin, C.B., Khishe, M., Raza, A., Thanh, H.V., Smerat, A., Gandomi10, A.H. and Abualigah, L., 2025. The Intersection of AI and the Internet of Things (IoT): Transforming Data into Intelligence. Mastering the Minds of Machines: A Journey into Deep Learning and AI, p.149.
Metaheuristic Optimization Algorithms: Optimizers, Analysis and Applications
1.Abualigah, L., Ababneh, A., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Ezugwu, A.E., Hanandeh, E.S. and Jia, H., 2024. "A Survey of cuckoo search algorithm: optimizer and new applications", Morgan Kaufmann.
2. Abualigah, L., Al Turk, A.A., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Hussien, A.G. and Jia, H., 2024. "Social spider optimization algorithm: survey and new applications", Morgan Kaufmann.
3. Abualigah, L., Alshatti, S.M., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Ezugwu, A.E., Hanandeh, E.S., Jia, H. and Zare, M., 2024. "Spider monkey optimizations: application review and results", Morgan Kaufmann.
4. Abualigah, L., Sbenaty, B., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Ezugwu, A.E., Hanandeh, E.S. and Jia, H., 2024. "Aquila optimizer: review, results and applications", Morgan Kaufmann.
5. Abualigah, L., Ahmad, E.N., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Ezugwu, A.E. and Jia, H., 2024. "Animal migration optimization algorithm: novel optimizer, analysis, and applications", Morgan Kaufmann.
6.Abualigah, L., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Ezugwu, A.E., Hanandeh, E.S. and Jia, H., 2024. "Whale optimization algorithm: analysis and full survey", Morgan Kaufmann.
7.Abualigah, L., Abusaleem, A., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Ezugwu, A.E., Hanandeh, E.S. and Jia, H., 2024." Arithmetic optimization algorithm: a review and analysis", Morgan Kaufmann.
8.Abualigah, L., Abu-Dalhoum, E., Ikotun, A.M., Zitar, R.A., Alsoud, A.R., Khodadadi, N., Ezugwu, A.E., Hanandeh, E.S. and Jia, H., 2024. "Teaching–learning-based optimization algorithm: analysis study and its application", Morgan Kaufmann.
Handbook of Whale Optimization Algorithm Variants, Hybrids, Improvements, and Applications
1. Khodadadi, N., Mirjalili, S. Z., Mirjalili, S.M., Nadim-Shahraki, M. H. and Mirjalili, S., (2024)", Multi-objective archived-based whale optimization algorithms ", Academic Press, Elsevier.
2. Ibrahim, A, El-kenawy, E. M, Khodadadi, N., M. Eid, M., and Abdelhamid, A. A.,(2024)", Guided whale optimization algorithm (guided WOA) with its application", Academic Press, Elsevier.
3. Khodadadi, N., El-kenawy, E. M, Faridmarandi, S., Shahabi Ghahfarokhi, M., Ibrahim, A., and Mirjalili, S., (2024)", A novel version of whale optimization algorithm for solving optimization problems", Academic Press, Elsevier.
4. Khodadadi, N., El-kenawy, E. M, M. Eid, M., Azzi, Z., Abdelhamid, A. A.,and Mirjalil, S., (2024)", Whale optimization algorithm for optimization of truss structures with multiple frequency constraints", Academic Press, Elsevier.
Comprehensive Metaheuristics Algorithms and Applications
1. Khodadadi, N., Soleimanian, F. Gh, Abdollahzadeh, B., Mirjalili, S., (2022) ”Space truss structures’ optimization using metaheuristic optimization algorithms” Academic Press.
2. Abdollahzadeh, B.,Soleimanian, F. Gh,Khodadadi, N., Mirjalili, S., (2022) ”Meta- heuristics for clustering problems” Academic Press.
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.
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.
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.