1 |
H. S. Shi et al., "Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study," Lancet Infectious Diseases, vol. 20, no. 4, pp. 425-434, 2020.
DOI
|
2 |
P. Enge, "The Global Positioning System: Signals, measurements, and performance," IJWIN, vol. 1, pp. 83-105, 1994.
|
3 |
Z., Cui, X., Jing, P., Zhao, W., Zhang, & J. Chen, "A new subspace clustering strategy for AI-based data analysis in IoT system," IEEE Internet of Things Journal, vol. 8, no. 16, pp. 12540-12549, 2021.
DOI
|
4 |
F. Xue and D. Wu, "NSGA-III algorithm with maximum ranking strategy for many-objective optimisation," International Journal of Bio-Inspired Computation, vol. 15, no. 1, pp. 14-23, 2020.
DOI
|
5 |
Y. Hu and X. M. Li, "An improvement of DV-Hop localization algorithm for wireless sensor networks," Telecommunication Systems, vol. 53, no. 1, pp. 13-18, 2013.
DOI
|
6 |
Y. Gao, Y. Zhuang, T. Ni, K. Yin, and T. Xue, "An improved genetic algorithm for wireless sensor networks localization," in Proc. of 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), pp. 439-443, 2010.
|
7 |
W. Chen, J. Ye, R. Wu, G. Liu, and P. Kang, "Firefly algorithm based on intelligent single particle learning," International Journal of Computing Science and Mathematics, vol. 12, no. 4, pp. 309-326, 2020.
DOI
|
8 |
N. Kumar, M. S. Rahman, A. Duary, S. K. Mahato, and A. K. Bhunia, "A new QPSO based hybrid algorithm for bound-constrained optimisation problem and its application in engineering design problems," International Journal of Computing Science and Mathematics, vol. 12, no. 4, pp. 385-412, 2020.
DOI
|
9 |
Cui, Z., Zhang, J., Wu, D., Cai, X., Wang, H., Zhang, W., & Chen, J., "Hybrid many-objective particle swarm optimization algorithm for green coal production problem," Information Sciences, vol. 518, pp. 256-271, 2020.
DOI
|
10 |
Z. H. Cui, B. Sun, G. G. Wang, Y. Xue, and J. J. Chen, "A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber-physical systems," Journal of Parallel and Distributed Computing, vol. 103, pp. 42-52, 2017.
DOI
|
11 |
P. H. Wang, J. R. Huang, Z. H. Cui, L. P. Xie, and J. J. Chen, "A Gaussian error correction multi-objective positioning model with NSGA-II," Concurrency and Computation-Practice & Experience, vol. 32, no. 5, p. e5464, 2020.
|
12 |
X. J. Cai, S. J. Geng, P. H. Wang, L. Wang, and Q. D. Wu, "Fast triangle flip bat algorithm based on curve strategy and rank transformation to improve DV-Hop performance," Ksii Transactions on Internet and Information Systems, vol. 13, no. 12, pp. 5785-5804, 2019.
DOI
|
13 |
Q. Q. Shi, Q. Xu, and J. P. Zhang, "Amended DV-hop scheme based on N-gram model and weighed LM algorithm," Electronics Letters, vol. 56, no. 5, pp. 247-250, 2020.
DOI
|
14 |
C. H. Xu, A. S. Ding, and S. S. Liao, "A privacy-preserving recommendation method based on multi-objective optimisation for mobile users," International Journal of Bio-Inspired Computation, vol. 16, no. 1, pp. 23-32, 2020.
DOI
|
15 |
J. Li, J. Zhang, and L. Xiande, "A Weighted DV-Hop Localization Scheme for Wireless Sensor Networks," in Proc. of 2009 International Conference on Scalable Computing and Communications; Eighth International Conference on Embedded Computing, pp. 269-272, 2009.
|
16 |
W. Zhao, S. B. Su, and F. Shao, "Improved DV-Hop Algorithm Using Locally Weighted Linear Regression in Anisotropic Wireless Sensor Networks," Wireless Personal Communications, vol. 98, no. 4, pp. 3335-3353, 2018.
DOI
|
17 |
T. Nebbou, M. Lehsaini, H. Fouchal, and M. Ayaida, "An urban location service for vehicular area networks," Concurrency and Computation-Practice & Experience, vol. 31, no. 24, 2019, Art. no. e4693.
|
18 |
L. Z. Cui, C. Xu, G. H. Li, Z. Ming, Y. H. Feng, and N. Lu, "A high accurate localization algorithm with DV-Hop and differential evolution for wireless sensor network," Applied Soft Computing, vol. 68, pp. 39-52, 2018.
DOI
|
19 |
X. Cai, S. Geng, D. Wu, J. Chen, "Unified integration of many-objective optimization algorithm based on temporary offspring for software defects prediction," Swarm and Evolutionary Computation, vol. 63, pp. 100871, 2021.
DOI
|
20 |
J. Wang, "A hybrid grid-based many-objective optimization algorithm for software defect prediction," International Journal of Computing Science and Mathematics, vol. 12, no. 4, pp. 374-384, 2020.
DOI
|
21 |
S. S. Choong, L. P. Wong, M. Y. H. Low, and C. S. Chong, "A bee colony optimisation algorithm with a sequential-pattern-mining-based pruning strategy for the travelling salesman problem," International Journal of Bio-Inspired Computation, vol. 15, no. 4, pp. 239-253, 2020.
DOI
|
22 |
X. Y. Yan, L. J. Sun, J. Zhou, and A. G. Song, "DV-hop localization algorithm based on optimal weighted least square in irregular areas," Electronics Letters, vol. 54, no. 21, pp. 1243-1244, 2018.
DOI
|
23 |
V. Kanwar and A. Kumar, "DV-Hop based localization methods for additionally deployed nodes in wireless sensor network using genetic algorithm," Journal of Ambient Intelligence and Humanized Computing, vol. 11, pp. 5513-5531, 2020.
DOI
|
24 |
Z. X. Zhang, Y. Cao, Z. H. Cui, W. S. Zhang, and J. J. Chen, "A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G," IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 5234-5243, 2021.
DOI
|
25 |
Z. H. Cui, Y. R. Zhao, Y. Cao, X. J. Cai, W. S. Zhang, and J. J. Chen, "Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model," IEEE Network, vol. 35, no. 2, pp. 82-87, 2021.
|
26 |
M. Mehrabi, H. Taheri, and P. Taghdiri, "An improved DV-Hop localization algorithm based on evolutionary algorithms," Telecommunication Systems, vol. 64, no. 4, pp. 639-647, Apr 2017.
DOI
|
27 |
Q. Shi, Q. Xu, and J. Zhang, "An Improved DV-Hop Scheme Based on Path Matching and Particle Swarm Optimization Algorithm," Wireless Personal Communications, vol. 104, no. 4, pp. 1301-1320, 2019.
DOI
|
28 |
L. Wang and B. K. P. Horn, "Time-to-contact control: improving safety and reliability of autonomous vehicles," International Journal of Bio-Inspired Computation, vol. 16, no. 2, pp. 68-78, 2020.
DOI
|
29 |
X. Zhang, X. T. Li, and M. H. Yin, "An enhanced genetic algorithm for the distributed assembly permutation flowshop scheduling problem," International Journal of Bio-Inspired Computation, vol. 15, no. 2, pp. 113-124, 2020.
DOI
|
30 |
G. Sharma and A. Kumar, "Improved range-free localization for three-dimensional wireless sensor networks using genetic algorithm," Computers & Electrical Engineering, vol. 72, pp. 808-827, 2018.
DOI
|
31 |
D. Prashar and D. Kumar, "Performance Evaluation of the Optimized Error Correction Based Hop Localization Approach in a Wireless Sensor Network," Wireless Personal Communications, vol. 111, no. 4, pp. 2517-2543, 2020.
DOI
|
32 |
Cai, X., Hu, Z., & Chen, J., "A many-objective optimization recommendation algorithm based on knowledge mining," Information Sciences, vol. 537, pp. 148-161, 2020.
DOI
|
33 |
Cui, Z., Zhao, P., Hu, Z., Cai, X., Zhang, W., & Chen, J., "An improved matrix factorization based model for many-objective optimization recommendation," Information Sciences, vol. 579, pp. 1-14, 2021.
DOI
|
34 |
J. Machaj, P. Brida, and N. Majer, "Challenges introduced by heterogeneous devices for Wi-Fi-based indoor localization," Concurrency and Computation-Practice & Experience, vol. 32, no. 13, 2020, Art. no. e5198.
|
35 |
X. J. Cai, P. H. Wang, Z. H. Cui, W. S. Zhang, and J. J. Chen, "Weight convergence analysis of DV-hop localization algorithm with GA," Soft Computing, vol. 24, no. 23, pp. 18249-18258, 2020.
DOI
|
36 |
D. Z. Han, Y. P. Yu, K. C. Li, and R. F. de Mello, "Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks," Sensors, vol. 20, no. 2, pp. 343, 2020.
DOI
|
37 |
Cai, X., Geng, S., Wu, D., Cai, J., & Chen, J., "A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things," IEEE Internet of Things Journal, vol. 8, no. 12, pp. 9645-9653, 2021.
DOI
|
38 |
W. Wang, H. Wang, and C. Li, "Decision preference-based artificial bee colony algorithm for many-objective optimal allocation of water resources," International Journal of Computing Science and Mathematics, vol. 12, no. 4, pp. 364-373, 2020.
DOI
|
39 |
X. Cai, Y. Cao, Y. Ren, Z. Cui, W. Zhang, "Multi-objective Evolutionary 3D Face Reconstruction Based on Improved Encoder-Decoder Network," Information Sciences, vol. 581, pp. 233-248, 2021.
DOI
|
40 |
J. Li, J. Zhang, and X. Liu, "A Weighted DV-Hop Localization Scheme for Wireless Sensor Networks," in Proc. of International Conference on Scalable Computing and Communications; Eighth International Conference on Embedded Computing, Scalcom-Embeddedcom, pp. 269-272, 2009.
|
41 |
Y. Kaniovski, Y. Kaniovskyi, and G. Pflug, "Analysis of credit-rating migrations with genetic algorithms," International Journal of Bio-Inspired Computation, vol. 16, no. 4, pp. 264-274, 2020.
DOI
|
42 |
Y. Zeng and F. Yu, "Improvement and simulation of cost risk assessment model for intelligent building engineering," International Journal of Computing Science and Mathematics, vol. 12, no. 2, pp. 177-191, 2020.
DOI
|
43 |
F. Zhou et al., "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study," Lancet, vol. 395, no. 10229, pp. 1054-1062, 2020.
DOI
|
44 |
D. Niculescu and B. Nath, "DV based positioning in Ad Hoc networks," Telecommunication Systems, vol. 22, no. 1-4, pp. 267-280, 2003.
DOI
|
45 |
D. Goldberg, Genetic Algorithm in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, Massachusetts, pp. 2104-2116, 1989. [Online]. Available: https://dl.acm.org/doi/book/10.5555/534133.
|