APA (7th ed.) Citation

J, H., J, Z., ZH, Z., & J, Z. (2026). A Chance and Control-Based Multi-Population Genetic Algorithm for Solving Large-Scale Multiple Sequence Alignment Problem. IEEE transactions on computational biology and bioinformatics, 23(3), 1064. https://doi.org/10.1109/TCBBIO.2026.3664445

Chicago Style (17th ed.) Citation

J, Hong, Zhong J, Zhan ZH, and Zhang J. "A Chance and Control-Based Multi-Population Genetic Algorithm for Solving Large-Scale Multiple Sequence Alignment Problem." IEEE Transactions on Computational Biology and Bioinformatics 23, no. 3 (2026): 1064. https://doi.org/10.1109/TCBBIO.2026.3664445.

MLA (9th ed.) Citation

J, Hong, et al. "A Chance and Control-Based Multi-Population Genetic Algorithm for Solving Large-Scale Multiple Sequence Alignment Problem." IEEE Transactions on Computational Biology and Bioinformatics, vol. 23, no. 3, 2026, p. 1064, https://doi.org/10.1109/TCBBIO.2026.3664445.