Li, Y., Li, L., Lian, Z., Zhou, K., & Dai, Y. (2025). A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-85751-3
ISO-690 (author-date, English)LI, Yier, LI, Lei, LIAN, Zhengpu, ZHOU, Kang and DAI, Yuchen, 2025. A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems. Scientific Reports. 1 December 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-85751-3.
Modern Language Association 9th editionLi, Y., L. Li, Z. Lian, K. Zhou, and Y. Dai. “A Quasi-Opposition Learning and Chaos Local Search Based on Walrus Optimization for Global Optimization Problems”. Scientific Reports, vol. 15, no. 1, Dec. 2025, https://doi.org/10.1038/s41598-025-85751-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Li, Yier/Li, Lei/Lian, Zhengpu/Zhou, Kang/Dai, Yuchen: A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems, Scientific Reports 2025,
Emerald - HarvardLi, Y., Li, L., Lian, Z., Zhou, K. and Dai, Y. (2025), “A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-85751-3.