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Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization.

X. Liu, Z. Zhan, Y. Gao, J. Zhang, S. Kwong, and J. Zhang. IEEE Trans. Evolutionary Computation, 23 (4): 587-602 (2019)

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Di Liu University of Stuttgart

Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonicsD. Liu. Dataset, (2024)Related to: Di Liu, Florian Kaiser, Vladislav Bushmakin, Erik Hesselmeier, Timo Steidl, Takeshi Ohshima, Nguyen Tien Son, Jawad Ul-Hassan, Öney O. Soykal, Jörg Wrachtrup (2023). The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. arXiv preprint. arXiv: 2307.13648.

Dexing Liu University of Stuttgart

Jan Liu University of Stuttgart

M.Sc. Zhuoran Liu University of Stuttgart

Univ. -Prof. Dr. Heng Xiao University of Stuttgart

Other publications of authors with the same name

Parallel Differential Evolution Based on Distributed Cloud Computing Resources for Power Electronic Circuit Optimization.X. Liu, Z. Zhan, J. Lin, and J. Zhang. GECCO (Companion), page 117-118. ACM, (2016)Historical and Heuristic-Based Adaptive Differential Evolution.X. Liu, Z. Zhan, Y. Lin, W. Chen, Y. Gong, T. Gu, H. Yuan, and J. Zhang. IEEE Trans. Systems, Man, and Cybernetics: Systems, 49 (12): 2623-2635 (2019)Comparative Analysis of Five Local Search Operators on Visiting Constrained Multiple Traveling Salesmen Problem.X. Liu, D. Liu, Q. Yang, X. Liu, W. Yu, and J. Zhang. SSCI, page 1-8. IEEE, (2021)Load balance aware distributed differential evolution for computationally expensive optimization problems.N. Ma, X. Liu, Z. Zhan, J. Zhong, and J. Zhang. GECCO (Companion), page 209-210. ACM, (2017)Dichotomy Guided Based Parameter Adaptation for Differential Evolution.X. Liu, Z. hui Zhan, and J. Zhang. GECCO, page 289-296. ACM, (2015)An Efficient Ant Colony System for Multi-Robot Task Allocation with Large-scale Cooperative Tasks and Precedence Constraints.X. Liu, B. Lin, Z. Zhan, S. Jeon, and J. Zhang. SSCI, page 1-8. IEEE, (2021)Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization.X. Liu, Z. Zhan, Y. Gao, J. Zhang, S. Kwong, and J. Zhang. IEEE Trans. Evolutionary Computation, 23 (4): 587-602 (2019)Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches.Z. Zhan, X. Liu, Y. Gong, J. Zhang, H. Chung, and Y. Li. ACM Comput. Surv., 47 (4): 63:1-63:33 (2015)An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing.X. Liu, Z. Zhan, J. Deng, Y. Li, T. Gu, and J. Zhang. IEEE Trans. Evolutionary Computation, 22 (1): 113-128 (2018)Cloudde: A Heterogeneous Differential Evolution Algorithm and Its Distributed Cloud Version.Z. Zhan, X. Liu, H. Zhang, Z. Yu, J. Weng, Y. Li, T. Gu, and J. Zhang. IEEE Trans. Parallel Distrib. Syst., 28 (3): 704-716 (2017)