Abstract
This chapter provides a summary of the research work and contributions against the research objectives together with the conclusions as to what has been achieved. As well as recommending some future work directions for those interested in the field.
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References
Shehab, M., Khader, A. T., & Laouchedi, M. (2017a). Modified cuckoo search algorithm for solving global optimization problems. In International Conference of Reliable Information and Communication Technology, 561–570. Springer.
Shehab, M., Khader, A. T., Al-Betar, M. A., & Abualigah, L. M. (2017b). Hybridizing cuckoo search algorithm with hill climbing for numerical optimization problems. In 2017 8th International Conference on Information Technology (ICIT) (pp. 36–43). IEEE.
Shehab, M., Khader, A. T., & Laouchedi, M. (2018a). A hybrid method based on cuckoo search algorithm for global optimization problems. Journal of ICT, 17(3), 469–491.
Shehab, M., Khader, A. T., Laouchedi, M., & Alomari, O. A. ( 2018b). Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization. The Journal of Supercomputing, 1–28.
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Shehab, M. (2020). Conclusion and Future Work. In: Artificial Intelligence in Diffusion MRI. Studies in Computational Intelligence, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-030-36083-2_9
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DOI: https://doi.org/10.1007/978-3-030-36083-2_9
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