Autors: Borovska, P. I., Gancheva, V. S., Landzhev N.
Title: Massively Parallel Algorithm for Multiple Biological Sequences Alignment
Keywords: biological data

References

    Issue

    Proceedings of the IEEE International Conference on Telecommunications and Signal Processing (TSP), pp. 638-642, 2013, Italy, ISBN 978-1-4799-0402-0

    Copyright IEEE

    Цитирания (Citation/s):
    1. Aslan, S., Aksoy, A., Gunay, M., Solving High Dimensional Problems with Artificial Bee Colony Algorithm on ARM Based Mobile Platform, Processing International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019, Article number 8875903; Code 153040 - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Aslan, S. A new emigrant utilization strategy for parallel artificial bee colony algorithm. Evolving Systems (2019). https://doi.org/10.1007/s12530-019-09294-5 - 2019 - в издания, индексирани в Scopus или Web of Science
    3. Jayapriya, J.Email Author, Arock, M., Aligning molecular sequences using hybrid bioinspired algorithm in GPU, International Journal of Computational Science and Engineering, Volume 21, Issue 1, 2020, Pages 125-136 - 2020 - в издания, индексирани в Scopus или Web of Science
    4. J. Jayapriya, Michael Arock, A parallel GWO technique for aligning multiple molecular sequences, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Publisher: IEEE, DOI: 10.1109/ICACCI.2015.7275611. - 2015 - в издания, индексирани в Scopus или Web of Science
    5. Rani R.R., Ramyachitra D. (2018) A Hybridization of Artificial Bee Colony with Swarming Approach of Bacterial Foraging Optimization for Multiple Sequence Alignment. In: Purohit H., Kalia V., More R. (eds) Soft Computing for Biological Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-7455-4_4 - 2018 - в издания, индексирани в Scopus или Web of Science
    6. Aslan, S. A new emigrant utilization strategy for parallel artificial bee colony algorithm. Evolving Systems 12, 337–357 (2021). https://doi.org/10.1007/s12530-019-09294-5 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science